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Large-scale kernel machines
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset o…
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- ISBN/ISSN
- 0262255790
- Collation
- 1 online resource (xii, 396 pages) :illustrations.
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Learning with kernels :support vector machines, regularization, optimization,…
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by…
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- ISBN/ISSN
- 9780262256933
- Collation
- 1 online resource (xviii, 626 pages) :illustrations.
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Learning kernel classifiers :theory and algorithms
Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This…
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- ISBN/ISSN
- 9780262256339
- Collation
- 1 online resource (xx, 364 pages) :illustrations.
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Metadyne statics
Includes index."The theory, design, and applications of a class of electrical machines, the metadyne, written by the man who first defined these devices and recognized their potentialities."OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 0262310856
- Collation
- 1 online resource (415 pages) :illustrations
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Mechanisms of implicit learning :connectionist models of sequence processing
"Axel Cleeremans is a Senior Research Assistant at the National Fund for Scientific Research, Belgium.""A Bradford book.""What do people learn when they do not know that they are learning? Until recently all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspec…
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- ISBN/ISSN
- 0585020388
- Collation
- 1 online resource (xii, 227 pages) :illustrations.
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Machine translation :a view from the lexicon
"Bonnie Jean Dorr is Assistant Professor in the Computer Science Department at the University of Maryland.""This book describes a novel, cross-linguistic approach to machine translation that solves certain classes of syntactic and lexical divergences by means of a lexical conceptual structure that can be composed and decomposed in language-specific ways. This approach allows the translator to o…
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- ISBN/ISSN
- 0262290839
- Collation
- 1 online resource (xx, 432 pages) :illustrations.
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The shape of actions :what humans and machines can do
What can humans do? What can machines do? How do humans delegate actions to machines? In this book, Harry Collins and Martin Kusch combine insights from sociology and philosophy to provide a novel answer to these increasingly important questions. The authors begin by distinguishing between two basic types of intentional behavior, which they call polimorphic actions and mimeomorphic actions. Pol…
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- ISBN/ISSN
- 0585075670
- Collation
- 1 online resource (xi, 212 pages) :illustrations
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Semi-supervised learning
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems, this text looks at state-of-the-art algorithms, applications benchmark experiments, and directions for future research.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262255899
- Collation
- 1 online resource (x, 508 pages) :illustrations.
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Robot shaping :an experiment in behavior engineering
"A Bradford book."Foreword by Lashon BookerTo program an autonomous robot to act reliably in a dynamic environment is a complex task. The dynamics of the environment are unpredictable, and the robots' sensors provide noisy input. A learning autonomous robot, one that can acquire knowledge through interaction with its environment and then adapt its behavior, greatly simplifies the designer's wor…
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- ISBN/ISSN
- 0585031037
- Collation
- 1 online resource (xviii, 203 pages) :illustrations.
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Readings in machine translation
"A Bradford book."The field of machine translation (MT) -- the automation of translation between human languages -- has existed for more than fifty years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics. This valuable resource offers the most historically signifi…
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- ISBN/ISSN
- 9780262280679
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- 1 online resource (xv, 413 pages) :illustrations
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