Search Results for Algorithms.

1.

Nature-inspired optimization algorithms

by

Yang, Xin-She.

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Nature-inspired optimization algorithms / Yang, Xin-She.

2.

Algorithms and architectures of artificial intelligence

by

Tyugu, Ė. Kh. (Ėnn Kharalʹdovich), 1935-

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Algorithms and architectures of artificial intelligence Tyugu, Ė. Kh. (Ėnn Kharalʹdovich), 1935-

3.

Grammatical Inference Algorithms, Routines and Applications

by

Wieczorek, Wojciech. author.

http://dx.doi.org/10.1007/978-3-319-46801-3

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Grammatical Inference Algorithms, Routines and Applications / Wieczorek, Wojciech. author.

4.

Grouping Genetic Algorithms Advances and Applications

by

Mutingi, Michael. author.

http://dx.doi.org/10.1007/978-3-319-44394-2

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Grouping Genetic Algorithms Advances and Applications / Mutingi, Michael. author.

5.

Glowworm Swarm Optimization Theory, Algorithms, and Applications

by

Kaipa, Krishnanand N. author.

http://dx.doi.org/10.1007/978-3-319-51595-3

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Glowworm Swarm Optimization Theory, Algorithms, and Applications / Kaipa, Krishnanand N. author.

6.

Supervised Learning Algorithms on Factors Impacting Retweet

by

Zhu, Jiahua, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:11016251

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Supervised Learning Algorithms on Factors Impacting Retweet / Zhu, Jiahua, author.

7.

Software engineering and algorithms in intelligent systems : proceedings of 7th computer science on-line conference 2018

by

Computer Science On-Line Conference (7. : 2018)

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Software engineering and algorithms in intelligent systems : proceedings of 7th computer science on

8.

Machine learning algorithms : popular algorithms for data science and machine learning

by

Bonaccorso, Giuseppe, author.

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Machine learning algorithms : popular algorithms for data science and machine learning / Bonaccorso

9.

A class of algorithms for distributed constraint optimization

by

Petcu, Adrian.

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A class of algorithms for distributed constraint optimization Petcu, Adrian.

10.

Predicting Customer Complaints in Mobile Telecom Industry Using Machine Learning Algorithms

by

Choi, Chiyoung, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791168

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Predicting Customer Complaints in Mobile Telecom Industry Using Machine Learning Algorithms / Choi

Cover image for An Ontological Approach and a Meta-Algorithm for Data and Machine Learning Algorithms Analysis and Classification with Application in the Medical Domain

11.

An Ontological Approach and a Meta-Algorithm for Data and Machine Learning Algorithms Analysis and Classification with Application in the Medical Domain

by

Chimmiri, Baby Sri Pravallika, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815148

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An Ontological Approach and a Meta-Algorithm for Data and Machine Learning Algorithms Analysis and

12.

Advances and Applications of Optimised Algorithms in Image Processing

by

Oliva, Diego. author.

http://dx.doi.org/10.1007/978-3-319-48550-8

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Advances and Applications of Optimised Algorithms in Image Processing Oliva, Diego. author.

13.

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

by

Franklin, Bryan M., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791719

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Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach / Franklin

14.

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

by

Yuan, Yang, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10814646

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Provable and Practical Algorithms for Non-Convex Problems in Machine Learning / Yuan, Yang, author.

15.

An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program

by

da Rosa, Raquel C., author. (orcid)0000-0003-2055-3887

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815097

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An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S

16.

Robotics, Vision and Control Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition

by

Corke, Peter. author.

http://dx.doi.org/10.1007/978-3-319-54413-7

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Robotics, Vision and Control Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended

17.

Quantum Inspired Algorithms for Learning and Control of Stochastic Systems

by

Rajagopal, Karthikeyan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10185997

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Quantum Inspired Algorithms for Learning and Control of Stochastic Systems / Rajagopal, Karthikeyan

Cover image for Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data

18.

Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data

by

Gordon, David, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10826659

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Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and

19.

Advances in Unconventional Computing Volume 2: Prototypes, Models and Algorithms

by

Adamatzky, Andrew. editor.

http://dx.doi.org/10.1007/978-3-319-33921-4

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Advances in Unconventional Computing Volume 2: Prototypes, Models and Algorithms / Adamatzky

20.

OpenAI GPT & ChatGPT

by

Attila, Ali Şir, Dr., yazar.

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Computer algorithms.

21.

Yapay zeka optimizasyon algoritmaları

by

Karaboğa, Derviş

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Excerpt:

Algorithms.

22.

TREAT : a new and efficient match algorithm for AI production systems

by

Miranker, Daniel P.

ScienceDirect http://www.sciencedirect.com/science/book/9780273087939

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Excerpt:

Computer algorithms.

23.

Evolutionary Multi-Agent Systems From Inspirations to Applications

by

Byrski, Aleksander. author.

http://dx.doi.org/10.1007/978-3-319-51388-1

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Algorithms.

24.

Artificial Intelligence and Evolutionary Computations in Engineering Systems Proceedings of ICAIECES 2016

by

Dash, Subhransu Sekhar. editor.

http://dx.doi.org/10.1007/978-981-10-3174-8

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Algorithms.

25.

Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing

by

Seising, Rudolf. editor.

http://dx.doi.org/10.1007/978-3-319-48317-7

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Algorithms.

26.

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

by

Amador, Leticia. author.

http://dx.doi.org/10.1007/978-3-319-54295-9

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Algorithms.

27.

Mathematical logic

by

Turing, Alan, 1912-1954.

ScienceDirect https://www.sciencedirect.com/science/book/9780444504234

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Excerpt:

Algorithms & data structures.

28.

Emergent Computation A Festschrift for Selim G. Akl

by

Adamatzky, Andrew. editor.

http://dx.doi.org/10.1007/978-3-319-46376-6

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Algorithms.

29.

Real-Time Image Editing and iOS Application with Convolutional Networks

by

Niu, Ransen, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10816296

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image editing approach effectively combines the strengths of two prominent images editing algorithms

30.

Optical Character Recognition Systems for Different Languages with Soft Computing

by

Chaudhuri, Arindam. author.

http://dx.doi.org/10.1007/978-3-319-50252-6

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algorithms, are tested using real texts written in different languages, such as English, French, German

31.

Processing of Hyperspectral Medical Images Applications in Dermatology Using Matlab®

by

Koprowski, Robert. author.

http://dx.doi.org/10.1007/978-3-319-50490-2

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be used in diagnostics, for example for dermatological images. The algorithms proposed are fully

32.

Genetic Algorithm Essentials

by

Kramer, Oliver. author.

http://dx.doi.org/10.1007/978-3-319-52156-5

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, algorithms, and applications discussed as easy to understand as possible. Further, it avoids a great deal of

Cover image for Artificial Intelligence Trends in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 1

33.

Artificial Intelligence Trends in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 1

by

Silhavy, Radek. editor.

http://dx.doi.org/10.1007/978-3-319-57261-1

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networks and hybrid algorithms. This book constitutes the refereed proceedings of the Artificial

34.

Metaheuristics for Medicine and Biology

by

Nakib, Amir. editor.

http://dx.doi.org/10.1007/978-3-662-54428-0

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traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is

35.

Proceedings of the First International Conference on Intelligent Computing and Communication

by

Mandal, Jyotsna Kumar. editor.

http://dx.doi.org/10.1007/978-981-10-2035-3

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swarm intelligence, artificial intelligence, evolutionary algorithms, and bio-inspired algorithms. It is

36.

Type-2 Fuzzy Granular Models

by

Sanchez, Mauricio A. author.

http://dx.doi.org/10.1007/978-3-319-41288-7

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In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm

37.

Advances in Network Systems Architectures, Security, and Applications

by

Grzenda, Maciej. editor.

http://dx.doi.org/10.1007/978-3-319-44354-6

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This book provides the reader with a comprehensive selection of cutting–edge algorithms

38.

Credibilistic Programming An Introduction to Models and Applications

by

Li, Xiang. author.

http://dx.doi.org/10.1007/978-3-642-36376-4

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-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.

39.

Essays on Random Forest Ensembles

by

Olson, Matthew, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10786136

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algorithms or neural networks, admit natural interpretations as maximum likelihood, a suitable statistical

40.

A Deep Reinforcement Learning Approach to the Portfolio Management Problem

by

Patel, Sahil S., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10868228

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management algorithms.

41.

Affective Intelligence in Built Environments

by

Yates, Heath Landon, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10792443

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algorithms, such as logistic regression, random forests, and artificial neural networks, in the detection of

42.

Latent Variable Models for Understanding User Behavior in Software Applications

by

Saeedi, Ardavan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902470

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models; I introduce models and inference algorithms for time series segmentation which are scalable to

43.

Using Electronic Health Records to Identify Incarceration History among Veterans

by

Kim, Clara Heown, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10747399

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a keyword search. Both methods are much more sensitive than a human reader. ML algorithms may thus

44.

Internet of Things and Big Data Technologies for Next Generation Healthcare

by

Bhatt, Chintan. editor.

http://dx.doi.org/10.1007/978-3-319-49736-5

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presented along with the available tools, technologies and algorithms to deal with those problems as well as

45.

EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII

by

Emmerich, Michael. editor.

http://dx.doi.org/10.1007/978-3-319-49325-1

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A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms -- Global Multi

46.

Evolutionary Computation Techniques: A Comparative Perspective

by

Cuevas, Erik. author.

http://dx.doi.org/10.1007/978-3-319-51109-2

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. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read

47.

Model-Free Stabilization by Extremum Seeking

by

Scheinker, Alexander. author.

http://dx.doi.org/10.1007/978-3-319-50790-3

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With this brief, the authors present algorithms for model-free stabilization of unstable dynamic

48.

Nature-Inspired Computing and Optimization Theory and Applications

by

Patnaik, Srikanta. editor.

http://dx.doi.org/10.1007/978-3-319-50920-4

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Excerpt:

investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms

49.

Design of Interpretable Fuzzy Systems

by

Cpałka, Krzysztof. author.

http://dx.doi.org/10.1007/978-3-319-52881-6

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interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also

Cover image for Advances in Automation and Robotics Research in Latin America Proceedings of the 1st Latin American Congress on Automation and Robotics, Panama City, Panama 2017

50.

Advances in Automation and Robotics Research in Latin America Proceedings of the 1st Latin American Congress on Automation and Robotics, Panama City, Panama 2017

by

Chang, Ignacio. editor.

http://dx.doi.org/10.1007/978-3-319-54377-2

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research and practice. These topics are related to control algorithms, systems automation, perception

51.

Real-life Applications with Membrane Computing

by

Zhang, Gexiang. author.

http://dx.doi.org/10.1007/978-3-319-55989-6

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-- Membrane Algorithms -- Engineering Optimization with Membrane Algorithms -- Electric Power System Fault

Cover image for Software Engineering Trends and Techniques in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 3

52.

Software Engineering Trends and Techniques in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 3

by

Silhavy, Radek. editor.

http://dx.doi.org/10.1007/978-3-319-57141-6

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Excerpt:

particularly focuses on modern trends in selected fields of interest, introducing new algorithms, methods and

Cover image for Cybernetics and Mathematics Applications in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 2

53.

Cybernetics and Mathematics Applications in Intelligent Systems Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 2

by

Silhavy, Radek. editor.

http://dx.doi.org/10.1007/978-3-319-57264-2

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introduces new algorithms, methods and applications of intelligent systems in automation, technological and

54.

Introduction to Morphogenetic Computing

by

Resconi, Germano. author.

http://dx.doi.org/10.1007/978-3-319-57615-2

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, genetic algorithms, and neural networks more stable and efficient. It also presents applications to

55.

Advances in Computational Intelligence Proceedings of International Conference on Computational Intelligence 2015

by

Sahana, Sudip Kumar. editor.

http://dx.doi.org/10.1007/978-981-10-2525-9

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Excerpt:

, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross disciplinary topics and

56.

Analysis and Synthesis of Dynamic Systems with Positive Characteristics

by

Shen, Jun. author.

http://dx.doi.org/10.1007/978-981-10-3880-8

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Excerpt:

algorithms are applicable for large-scale systems. The theory and control strategies developed will not only

57.

Recent Advances in Evolutionary Multi-objective Optimization

by

Bechikh, Slim. editor.

http://dx.doi.org/10.1007/978-3-319-42978-6

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Excerpt:

-objective Optimization using Evolutionary Algorithms: A Survey -- Evolutionary Bilevel Optimization: An Introduction and

58.

Intelligence Systems in Environmental Management: Theory and Applications

by

Kahraman, Cengiz. editor.

http://dx.doi.org/10.1007/978-3-319-42993-9

Format:

Excerpt:

, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent

59.

Cohort Intelligence: A Socio-inspired Optimization Method

by

Kulkarni, Anand Jayant. author.

http://dx.doi.org/10.1007/978-3-319-44254-9

Format:

Excerpt:

algorithms have been coded in Matlab and are freely available from the link provided inside the book. The

60.

Designing with Computational Intelligence

by

Nedjah, Nadia. editor.

http://dx.doi.org/10.1007/978-3-319-44735-3

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Excerpt:

Evolutionary Algorithms: Application to the Scheduling of Power Network Outages -- WBdetect: Particle Swarm

61.

Robotic Sailing 2016 Proceedings of the 9th International Robotic Sailing Conference

by

Alves, José C. editor.

http://dx.doi.org/10.1007/978-3-319-45453-5

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Excerpt:

and control mechanisms. The second part is devoted to the development of sensors and algorithms to

62.

Best Matching Theory & Applications

by

Moghaddam, Mohsen. author.

http://dx.doi.org/10.1007/978-3-319-46070-3

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Excerpt:

algorithms and protocols, ready for direct applications and apps development. Designed for both academics and

63.

A Study of Ensemble Learning with AdaBoost and NEAT

by

Schukei, Robert, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10606227

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Excerpt:

Neural networks, ensemble algorithms, neuroevolution, and genetic algorithms all have shown the

64.

Reasoning about plans

by

Allen, James, 1950-

ScienceDirect https://www.sciencedirect.com/science/book/9781558601376

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Excerpt:

and develops a powerful family of algorithms for plan recognition in complex situations. Richard

Cover image for Adaptation and Augmentation: Towards Better Rescoring Strategies for Automatic Speech Recognition and Spoken Term Detection

65.

Adaptation and Augmentation: Towards Better Rescoring Strategies for Automatic Speech Recognition and Spoken Term Detection

by

Ma, Min, author. (orcid)0000-0002-1816-1772

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10792971

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Excerpt:

significant improvements by using the source application information. (3) Marrying machine learning algorithms

Cover image for Machine Learning-assisted Prediction of Structure and Function of Cystine-stabilized Peptides and Optimization of Expression in an E. coli System

66.

Machine Learning-assisted Prediction of Structure and Function of Cystine-stabilized Peptides and Optimization of Expression in an E. coli System

by

Islam, S. M. Ashiqul, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10794048

Format:

Excerpt:

-assisted algorithms PredSTP and CSPred to predict structural and functional characteristics, respectively, of cystine

67.

Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

by

Islam, S. M. Ashiqul, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10784140

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Excerpt:

To contribute to developing this pipeline, I developed the machine learning-assisted algorithms

68.

Investigation of Deep Neural Network Image Processing for Cubesat Size Satellites

by

Braun, Adam D., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10790236

Format:

Excerpt:

CubeSats to utilize AI algorithms. These computationally intensive AI algorithms, such as Deep Learning

69.

A Study of Interpretability Mechanisms for Deep Networks

by

Kokate, Apurva, author. (orcid)0000-0003-2353-4171

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10793172

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Excerpt:

characteristics for any interpretability mechanism. We demonstrate our framework using two well-known algorithms

70.

Augmented Translation Models for Sequential Recommendation

by

Pasricha, Rajiv, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823252

Format:

Excerpt:

recommendation tasks by adapting ideas from metric learning and knowledge-graph completion. These algorithms

71.

Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-ranking and Adaptive Learning and Extension

by

Zhao, Grace, author. (orcid)0000-0002-3998-0988

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10825522

Format:

Excerpt:

highly relevant web resources via a set of domain-centric re-ranking algorithms and adaptive ontology

72.

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

by

Cai, Ermao, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10827562

Format:

Excerpt:

algorithms or optimization techniques. To have accurate models, one needs to consider not only technology

73.

Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach

by

Angola Abreu, Enrique D., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829768

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Excerpt:

bins. This process eliminates the need for data dimension reduction algorithms. The method of "pseudo

74.

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

by

Guan, Meijian, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813804

Format:

Excerpt:

. The performances of RNNs was compared to five machine learning algorithms including Naive Bayes (NB

75.

Advances in Information and Communication Technology Proceedings of the International Conference, ICTA 2016

by

Akagi, Masato. editor.

http://dx.doi.org/10.1007/978-3-319-49073-1

Format:

Excerpt:

Fitness Representation in Genetic Programming -- Comparing Modified PSO Algorithms for MRS in Unknown

Cover image for Advanced Computing in Industrial Mathematics Revised Selected Papers of the 10th Annual Meeting of the Bulgarian Section of SIAM December 21-22, 2015, Sofia, Bulgaria

76.

Advanced Computing in Industrial Mathematics Revised Selected Papers of the 10th Annual Meeting of the Bulgarian Section of SIAM December 21-22, 2015, Sofia, Bulgaria

by

Georgiev, Krassimir. editor.

http://dx.doi.org/10.1007/978-3-319-49544-6

Format:

Excerpt:

with Gradient of Properties -- InterCriteria Analysis of Simple Genetic Algorithms Performance

77.

Foundations of Computer Vision Computational Geometry, Visual Image Structures and Object Shape Detection

by

Peters, James F. author.

http://dx.doi.org/10.1007/978-3-319-52483-2

Format:

Excerpt:

supplies us with structures useful in the analysis and classiﬁcation of image regions. Algorithms provide a

78.

Data Science and Big Data: An Environment of Computational Intelligence

by

Pedrycz, Witold. editor.

http://dx.doi.org/10.1007/978-3-319-53474-9

Format:

Excerpt:

Part I. Fundamentals -- Large-Scale Clustering Algorithms -- On High Dimensional Search Space and

79.

Robot Operating System (ROS) The Complete Reference (Volume 2)

by

Koubaa, Anis. editor.

http://dx.doi.org/10.1007/978-3-319-54927-9

Format:

Excerpt:

robotics systems, algorithms, frameworks, and applications with ROS. ROS is being increasingly integrated

80.

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

by

Fdez-Riverola, Florentino. editor.

http://dx.doi.org/10.1007/978-3-319-60816-7

Format:

Excerpt:

produced and their integration call for new algorithms and approaches from fields such as Databases

81.

Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017)

by

De Paz, Juan F. editor.

http://dx.doi.org/10.1007/978-3-319-61118-1

Format:

Excerpt:

Algorithms -- Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets -- A

82.

Proceedings of Sixth International Conference on Soft Computing for Problem Solving SocProS 2016, Volume 1

by

Deep, Kusum. editor.

http://dx.doi.org/10.1007/978-981-10-3322-3

Format:

Excerpt:

Algorithms for Integer and Mixed Integer Optimization Problems -- Spider Monkey Optimization Algorithm based

83.

Proceedings of Sixth International Conference on Soft Computing for Problem Solving SocProS 2016, Volume 2

by

Deep, Kusum. editor.

http://dx.doi.org/10.1007/978-981-10-3325-4

Format:

Excerpt:

neural networks, evolutionary algorithms, swarm intelligence, soft computing, computational intelligence

84.

Intelligent Techniques in Signal Processing for Multimedia Security

by

Dey, Nilanjan. editor.

http://dx.doi.org/10.1007/978-3-319-44790-2

Format:

Excerpt:

exchange in secured multimedia systems. Focusing on numerous applications’ algorithms and scenarios, it

Cover image for Advances in Combining Intelligent Methods Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)

85.

Advances in Combining Intelligent Methods Postproceedings of the 5th International Workshop CIMA-2015, Vietri sul Mare, Italy, November 2015 (at ICTAI 2015)

by

Hatzilygeroudis, Ioannis. editor.

http://dx.doi.org/10.1007/978-3-319-46200-4

Format:

Excerpt:

over Neo4j -- Difficulty estimation of exercises on tree-based search algorithms using neuro-fuzzy and

86.

Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization

by

Sotiropoulos, Dionisios N. author.

http://dx.doi.org/10.1007/978-3-319-47194-5

Format:

Excerpt:

-- Experimental Evaluation of Artificial Immune System-based Learning Algorithms -- Conclusions and Future Work.

87.

Advances in Business ICT: New Ideas from Ongoing Research

by

Pełech-Pilichowski, Tomasz. editor.

http://dx.doi.org/10.1007/978-3-319-47208-9

Format:

Excerpt:

Industry 4.0. The book presents new ideas, approaches, solutions and algorithms in the area of knowledge

88.

Fuzzy Sets, Rough Sets, Multisets and Clustering

by

Torra, Vicenç. editor.

http://dx.doi.org/10.1007/978-3-319-47557-8

Format:

Excerpt:

Algorithms Based on Tolerance -- Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition

89.

Advances in Big Data Proceedings of the 2nd INNS Conference on Big Data, October 23-25, 2016, Thessaloniki, Greece

by

Angelov, Plamen. editor.

http://dx.doi.org/10.1007/978-3-319-47898-2

Format:

Excerpt:

-inspired algorithms); implementations on different computing platforms (e.g. neuromorphic, graphics processing units

Cover image for Intelligent Distributed Computing X Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016

90.

Intelligent Distributed Computing X Proceedings of the 10th International Symposium on Intelligent Distributed Computing – IDC 2016, Paris, France, October 10-12 2016

by

Badica, Costin. editor.

http://dx.doi.org/10.1007/978-3-319-48829-5

Format:

Excerpt:

.-Reconﬁguration of RBAC schemes by genetic algorithms.-String-based Malware Detection for Android Environments

91.

A Bounded Actor-Critic Algorithm for Reinforcement Learning

by

Lawhead, Ryan Jacob, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10642132

Format:

Excerpt:

-critic algorithms, where the values of the so-called actor can either become very large or very small, the algorithm

92.

Parallel processing for artificial intelligence 3

by

Geller, James.

ScienceDirect https://www.sciencedirect.com/science/book/9780444824868
ScienceDirect https://www.sciencedirect.com/science/bookseries/09230459/20

Format:

Excerpt:

SETHEO -- Low-Level Computer Vision Algorithms: Performance Evaluation on Parallel and Distributed

93.

Learning to Measure: Distance Metric Learning with Structured Sparsity

by

Amand, Joseph St., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10791465

Format:

Excerpt:

a more effective metric typically results in more accurate metric-based machine learning algorithms.

94.

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

by

Lee, Moontae, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823238

Format:

Excerpt:

efficiency, but at costs: a) The algorithms perform poorly on real data that does not necessarily follow

95.

A flexible machine vision system for small parts inspection based on a hybrid SVM/ANN approach

by

Joshi, Keyur Dineshchandra, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10857290

Format:

Excerpt:

. Classifiers developed from supervised algorithms perform well when trained for a specific application with

96.

Reliable Online Prediction with Refuse Option

by

Koçak, Mustafa Anil, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10641615

Format:

Excerpt:

epsilon. Our approach, based on conformal predictors, refuses less often than state-of-art meta-algorithms

97.

Finding the Components of the Primary Language Focusing on the Algorithm of Discovery

by

Alharbi, Nesreen, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10743424

Format:

Excerpt:

languages, during times long past, those algorithms would have directly utilized the Primary Language. These

98.

Automated Plant Phenotyping Using 3D Machine Vision and Robotics

by

Bao, Yin, author. (orcid)0000-0002-3548-1823

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10751453

Format:

Excerpt:

under field conditions. Algorithms for extracting plant height, leaf angle, plant orientation, and stem

99.

From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition

by

Bayat, Akram, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10788957

Format:

Excerpt:

dimensions of implementing machine learning algorithms for solving two important real world problems are

100.

Statistical Modeling of Aircraft Engine Fuel Burn

by

Chati, Yashovardhan Sushil, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903558

Format:

Excerpt:

particular phase or the entire trajectory). The new model architecture uses supervised learning algorithms to

101.

Using High-Order Prior Belief Predictions in Hierarchical Temporal Memory for Streaming Anomaly Detection

by

Kutt, Brody, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824848

Format:

Excerpt:

. Unsupervised algorithms that learn continuously like humans therefore boast increased applicability to these

102.

Exploit Grammar Induction on Pattern and Structure Discovery

by

Li, Yuan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815184

Format:

Excerpt:

computation theory, many grammar induction algorithms have been introduced in recent years. Most existing work

103.

Advances in Unconventional Computing Volume 1: Theory

by

Adamatzky, Andrew. editor.

http://dx.doi.org/10.1007/978-3-319-33924-5

Format:

Excerpt:

algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing

104.

The Fundamentals of Computational Intelligence: System Approach

by

Zgurovsky, Mikhail Z. author.

http://dx.doi.org/10.1007/978-3-319-35162-9

Format:

Excerpt:

- cascade neo-fuzzy neural networks are considered and their training algorithms are described and analyzed

105.

Trends in Control and Decision-Making for Human–Robot Collaboration Systems

by

Wang, Yue. editor.

http://dx.doi.org/10.1007/978-3-319-40533-9

Format:

Excerpt:

, and the sharing of control between human and automated systems, etc. Control and decision algorithms

Cover image for Advances in Intelligent Systems and Computing Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine

106.

Advances in Intelligent Systems and Computing Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine

by

Shakhovska, Natalya. editor.

http://dx.doi.org/10.1007/978-3-319-45991-2

Format:

Excerpt:

Analysis of the Psychophysiological Survey Results -- Two Algorithms Median Filtering to Identify the Time

107.

Development of Machine Learning Methodologies to Improve Outcomes in Chronic Inflammatory Diseases

by

Konkayala, Bhargava Reddy, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10641296

Format:

Excerpt:

learning algorithms, gradient boosting machines, can predict inflammation severity with 92.82% accuracy

108.

Application of Machine Learning: An Analysis of Asian Options Pricing Using Neural Network

by

Fang, Zhou, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10607432

Format:

Excerpt:

Algorithms we used affect the results significantly.

109.

Artificial intelligence in chemistry : structure elucidation and simulation of organic reactions

by

Hippe, Z., 1930-

ScienceDirect http://www.sciencedirect.com/science/book/9780444987464

Format:

Excerpt:

Perception; 9.1. Elementary Problems of Presentation of Structural Codes in Canonical Form; 9.2. Algorithms

Cover image for Pattern recognition and artificial intelligence : towards an integration : proceedings of an international workshop held in Amsterdam, May 18-20, 1988

110.

Pattern recognition and artificial intelligence : towards an integration : proceedings of an international workshop held in Amsterdam, May 18-20, 1988

by

Gelsema, Edzard S., 1937-

ScienceDirect https://www.sciencedirect.com/science/book/9780444871374
ScienceDirect https://www.sciencedirect.com/science/bookseries/09230459/7

Format:

Excerpt:

: ALGORITHMS; CHAPTER 4. A NEW PROCEDURE FOR LINE ENHANCEMENT APPLIED TO FINGERPRINTS; 1. ROTATION

111.

Pattern-directed inference systems

by

Workshop on Pattern-Directed Inference Systems (1977 : Honolulu, Hawaii)

ScienceDirect http://www.sciencedirect.com/science/book/9780127375502

Format:

Excerpt:

PRODUCTION SYSTEM IMPLEMENTATIONS; 1.0 INTRODUCTION; 2.0 IMPLEMENTATION ALGORITHMS; 3.0 ESTIMATED

112.

Essays in Machine Learning, Social Networks and Marketing

by

Nathan, Alexandros, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10822061

Format:

Excerpt:

distributed) has not been studied extensively. We propose two doubly distributed optimization algorithms. The

113.

Advanced Topics in Intelligent Information and Database Systems

by

Król, Dariusz. editor.

http://dx.doi.org/10.1007/978-3-319-56660-3

Format:

Excerpt:

-- Combination of Collision Detection and Visibility Algorithms in Simulation of Eﬀective Placement of Anti

114.

Proceedings of the International Conference on Data Engineering and Communication Technology ICDECT 2016, Volume 2

by

Satapathy, Suresh Chandra. editor.

http://dx.doi.org/10.1007/978-981-10-1678-3

Format:

Excerpt:

-- Chapter 56. A Behavioral Study of Some Widely Employed Partitional and Model-Based Clustering Algorithms

Cover image for Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications FICTA 2016, Volume 1

115.

Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications FICTA 2016, Volume 1

by

Satapathy, Suresh Chandra. editor.

http://dx.doi.org/10.1007/978-981-10-3153-3

Format:

Excerpt:

Handwritten City Name Recognition Using Gradient Based Feature -- Chapter 35. Shortest Path Algorithms for

116.

Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications FICTA 2016, Volume 2

by

Satapathy, Suresh Chandra. editor.

http://dx.doi.org/10.1007/978-981-10-3156-4

Format:

Excerpt:

-- Chapter 43. Approach for Emotion Extraction from Text -- Chapter 44. Bio-inspired Algorithms for Mobile

117.

Multicriteria decision aid and artificial intelligence links, theory and applications

by

Doumpos, Michael.

Click to View

Format:

Excerpt:

efficient computational optimization algorithms for problem solving. This book covers a rich set of topics

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