An Introduction to Machine Learning, Miroslav Kubat
Автор: Bekkerman Название: Scaling up Machine Learning ISBN: 0521192242 ISBN-13(EAN): 9780521192248 Издательство: Cambridge Academ Рейтинг: Цена: 14731.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 5557.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 12850.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Dawn E. Holmes Название: Innovations in Machine Learning ISBN: 3642067883 ISBN-13(EAN): 9783642067884 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Ryan J. Urbanowicz; Will N. Browne Название: Introduction to Learning Classifier Systems ISBN: 3662550067 ISBN-13(EAN): 9783662550069 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is an accessible introduction to Learning Classifier Systems (LCS) for undergraduate and postgraduate students, data analysts, and machine learning practitioners.
Автор: Andrei Popescu-Belis; Rainer Stiefelhagen Название: Machine Learning for Multimodal Interaction ISBN: 3540858520 ISBN-13(EAN): 9783540858522 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Yaochu Jin Название: Multi-Objective Machine Learning ISBN: 3642067964 ISBN-13(EAN): 9783642067969 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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 Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Matthieu Cord; P?draig Cunningham Название: Machine Learning Techniques for Multimedia ISBN: 3642443621 ISBN-13(EAN): 9783642443626 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it.
Автор: Zhi-Hua Zhou; Takashi Washio Название: Advances in Machine Learning ISBN: 3642052231 ISBN-13(EAN): 9783642052231 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Most submissions received four reviews, a few submissions received ?ve reviews, while only several submissions received three reviews.
Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang Название: Principles and Theory for Data Mining and Machine Learning ISBN: 1461417074 ISBN-13(EAN): 9781461417071 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.
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.
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