An Introduction to Machine Learning, Miroslav Kubat

Автор: Bekkerman
Название: Scaling up Machine Learning
ISBN: 0521192242 ISBN-13(EAN): 9780521192248
Издательство: Cambridge Academ
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Цена: 98210.00 T
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Описание: In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 37050.00 T
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

Автор: Tiller
Название: Introduction to Physical Modeling with Modelica
ISBN: 0792373677 ISBN-13(EAN): 9780792373674
Издательство: Springer
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Цена: 85670.00 T
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Описание: This title describes "Modelica", a modelling language that can be used to simulate both continuous and discrete behaviour, It provides the necessary background to develop Modelica models of almost any physical system. The author starts with basic differential equations from several engineering domains and describes how these equations can be used to create reusable component models. Next, he describes techniques for modelling complex non-linear behaviour, exploiting the powerful array handling features and mixing continuous and discrete behaviour.

The second part of the book focuses on effective use of all the language features provided by the Modelica modelling language. This includes, among other things, discussions on maximizing the reusability of component models being developed, managing the model development process, and making models as computationally efficient as possible. The book includes a companion CD-ROM with the Modelica source code for all examples as well as an evaluation copy of Dymola.

Using Dymola, readers can immediately begin to explore the dynamics of the models included with the book or to develop their own models. Nearly 100 examples of mechanical, electrical, biological, chemical, thermal and hydraulic models are included.

Автор: Andrei Popescu-Belis; Rainer Stiefelhagen
Название: Machine Learning for Multimodal Interaction
ISBN: 3540858520 ISBN-13(EAN): 9783540858522
Издательство: Springer
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Цена: 69870.00 T
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Описание: Constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. This title features papers that cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction.

Автор: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Название: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
ISBN: 3642011837 ISBN-13(EAN): 9783642011832
Издательство: Springer
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Цена: 65210.00 T
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Описание: Constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubingen, Germany, in April 2009 co located with the Evo 2009 events. This book includes such topics as biomarker discovery, cell simulation and modeling, and ecological modeling.

Автор: Ryan J. Urbanowicz; Will N. Browne
Название: Introduction to Learning Classifier Systems
ISBN: 3662550067 ISBN-13(EAN): 9783662550069
Издательство: Springer
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Цена: 46570.00 T
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Описание: This is an accessible introduction to Learning Classifier Systems (LCS) for undergraduate and postgraduate students, data analysts, and machine learning practitioners.

Автор: Ertel
Название: Introduction to Artificial Intelligence
ISBN: 0857292986 ISBN-13(EAN): 9780857292988
Издательство: Springer
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Цена: 32560.00 T
Наличие на складе: Невозможна поставка.
Описание: This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.

Автор: Yaochu Jin
Название: Multi-Objective Machine Learning
ISBN: 3642067964 ISBN-13(EAN): 9783642067969
Издательство: Springer
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Цена: 243800.00 T
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Описание: This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.

Автор: Dawn E. Holmes
Название: Innovations in Machine Learning
ISBN: 3642067883 ISBN-13(EAN): 9783642067884
Издательство: Springer
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Цена: 130590.00 T
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Описание: Machine learning is currently one of the most rapidly growing areas of research in computer science. symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences.

Автор: Daniel S. Yeung; Zhi-Qiang Liu; Xi-Zhao Wang; Hong
Название: Advances in Machine Learning and Cybernetics
ISBN: 3540335846 ISBN-13(EAN): 9783540335849
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book constitutes the thoroughly refereed post-proceedings of the 4th International Conference on Machine Learning and Cybernetics, ICMLC 2005, held in Guangzhou, China in August 2005.

Автор: Zhi-Hua Zhou; Takashi Washio
Название: Advances in Machine Learning
ISBN: 3642052231 ISBN-13(EAN): 9783642052231
Издательство: Springer
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Цена: 83850.00 T
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Описание: Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews.

Автор: Wray Buntine; Marko Grobelnik; Dunja Mladenic; Joh
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3642041736 ISBN-13(EAN): 9783642041730
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009.