Search ResultsElektronik Kaynaklar 
by
Sugiyama, Masashi, 1974-
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Machine learning in non-stationary environments introduction to covariate shift adaptation /
by
Kulkarni, Parag. author.
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Reverse Hypothesis Machine Learning A Practitioner's Perspective / Kulkarni, Parag. author.
by
Beyerer, Jürgen. editor.
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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4
by
Sotiropoulos, Dionisios N. author.
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Machine Learning Paradigms Artificial Immune Systems and their Applications in Software
by
Rigatos, Gerasimos G. author.
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machine learning methods / Rigatos, Gerasimos G. author.
by
Chiu, Kuo Ping, author.
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Machine learning.
by
De Bruyne, Steven.
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Machine learning.
by
Torra, Vicenç. author.
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Introduction -- Machine and Statistical Learning -- On the Classification of Protection Procedures
by
Jayadeva. author.
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, it also discusses the important and challenging applications of this new machine learning methodology
by
Angelov, Plamen. editor.
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, evolutionary computation, evolving systems and machine learning. The individual chapters are based on peer
by
Świątek, Jerzy. editor.
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theory, control theory, machine learning, artificial intelligence, signal processing, communication and
by
Kramer, Oliver. author.
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-- Multimodality -- Constraints -- Multiple Objectives -- Part III: Advanced Concepts -- Theory -- Machine Learning
by
Konar, Amit. author.
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point from its preceding value in fluctuating business environments. It employs machine learning to
by
Mönks, Uwe. author.
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interests are in the area of multisensor and information fusion, pattern recognition, and machine learning.
by
Sahana, Sudip Kumar. editor.
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and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint
by
Kulkarni, Anand Jayant. author.
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Intelligence For Constrained Test Problems -- Modified Cohort Intelligence For Solving Machine Learning
by
Nedjah, Nadia. editor.
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Networks -- Mole Features Extraction for a Melanoma Recognition System -- Human-Machine Musical Composition
by
Wieczorek, Wojciech. author.
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multiple disciplines, with contributions from computational linguistics, pattern recognition, machine
by
Derczynski, Leon R.A. author.
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solutions for the major difficulties. It is a valuable resource for those working in machine learning for
by
Graña, Manuel. editor.
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techniques in machine learning, computer science and some engineering disciplines, which investigate
by
Hassanien, Aboul Ella. editor.
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-- Arabic fine-grained opinion categorization using discriminative machine learning technique -- A Spell
by
Oliva, Diego. author.
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detection of complex objects in medical images. Furthermore, the concepts of machine learning and
by
Emmerich, Michael. editor.
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multiobjective optimization, game theory, and machine learning problems. It provides extended versions of
by
Corea, Francesco. author.
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in machine learning, neuroscience, and artificial intelligence technology will be addressed, and new
by
Pedrycz, Witold. editor.
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Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data -- An Efficient
by
Fdez-Riverola, Florentino. editor.
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, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence
by
Deiva Sundari, P. editor.
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intelligent computing, soft computing, and communication to machine learning, industrial automation, process
by
Satapathy, Suresh Chandra. editor.
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Preservation in Cloud Computing with Double Encryption Method -- A Machine learning based approach for Opinion
by
Schütze, Oliver. editor.
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Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and
by
Badica, Costin. editor.
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Metrics for Urban Driving with Data Fusion and Distributed Machine Learning.-A Probabilistic Sample
by
Leu, George. editor.
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intelligent systems remained designer-based endeavors and thus, were limited in their true learning and
by
Liu, Chengjun. editor.
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learning and recognition approaches, which have broad applications in the context of intelligent image
by
Wang, Guoyin. editor.
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Set Research -- Rough Sets, Rough Mereology and Uncertainty -- Rough Sets in Machine Learning: A
by
Xhafa, Fatos. editor.
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intelligence, human–computer interaction, machine learning and new Internet-based technologies. Accordingly
by
Król, Dariusz. editor.
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. The book brings together 47 chapters divided into six main parts: • Part I. From Machine Learning to
by
Ferraro, Maria Brigida. editor.
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methods of data wrangling, data visualization, machine learning, probability and statistics. The soft
by
Satapathy, Suresh Chandra. editor.
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Analysis Based on Behavior Artifacts -- Chapter 56. Evaluation of Machine Learning Approaches for Change

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