Automatic Learning Techniques in Power Systems, Louis A. Wehenkel

Автор: Alexander Mehler; Reinhard K?hler
Название: Aspects of Automatic Text Analysis
ISBN: 3642072259 ISBN-13(EAN): 9783642072253
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book presents recent developments in automatic text analysis. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.

Автор: Chin-Hui Lee; Frank K. Soong; Kuldip K. Paliwal
Название: Automatic Speech and Speaker Recognition
ISBN: 1461285909 ISBN-13(EAN): 9781461285908
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware.

Автор: A. Acero
Название: Acoustical and Environmental Robustness in Automatic Speech Recognition
ISBN: 1461363667 ISBN-13(EAN): 9781461363668
Издательство: Springer
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Цена: 19591.00 р.
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Описание: The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications.

Автор: Oleg Granichin; Zeev (Vladimir) Volkovich; Dvora T
Название: Randomized Algorithms in Automatic Control and Data Mining
ISBN: 3642547850 ISBN-13(EAN): 9783642547850
Издательство: Springer
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Цена: 19591.00 р.
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Описание: In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues.

Автор: Matthieu Cord; P?draig Cunningham
Название: Machine Learning Techniques for Multimedia
ISBN: 3642443621 ISBN-13(EAN): 9783642443626
Издательство: Springer
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Цена: 23058.00 р.
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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.