Search Results for Machine theory.

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Machine learning theory and applications. Volume 31

Govindaraju, Venu.

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Machine learning theory and applications. Volume 31 / Govindaraju, Venu.

Hands-on machine learning with Scikit-Learn and TensorFlow

Géron, Aurélien, author.

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concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow

Genetic Algorithm Essentials

Kramer, Oliver. author.

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

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-- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning

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

Emmerich, Michael. editor.

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

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multiobjective optimization, game theory, and machine learning problems. It provides extended versions of

Grammatical Inference Algorithms, Routines and Applications

Wieczorek, Wojciech. author.

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

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multiple disciplines, with contributions from computational linguistics, pattern recognition, machine

Automatically Ordering Events and Times in Text

Derczynski, Leon R.A. author.

http://dx.doi.org/10.1007/978-3-319-47241-6

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identification of exactly what is difficult about the task. It then proposes and evaluates machine

Advances and Applications of Optimised Algorithms in Image Processing

Oliva, Diego. author.

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

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problems. The problems selected explore areas ranging from the theory of image segmentation to the

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

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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theoretical explanations. On the other hand, the algorithms analyzed in the theoretical machine learning

Deep Learning and Structured Data

Zhang, Chiyuan, 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:10902476

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notion in machine learning theory. We will show how, in the regime of deep learning, the characterization

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Designing intelligent machines

Rzevski, G. (George)

ScienceDirect http://www.sciencedirect.com/science/book/9780750624039

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networks, scheduling, reasoning, fuzzy logic, rule-based systems, machine learning, control and computer

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Artificial intelligence

Hunt, Earl B.

ScienceDirect https://www.sciencedirect.com/science/book/9780123623409

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consider the general notion of computability, with focus on the interaction between computability theory

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

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

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Hierarchical Temporal Memory (HTM) is a biologically constrained theory of machine intelligence

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