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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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Learnability in optimality theory
AnnotationOCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 0585354677
- Collation
- 1 online resource (vi, 140 pages) :illustrations
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Learnability and cognition :the acquisition of argument structure
"A Bradford book."OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262281614
- Collation
- 1 online resource (xiv, 411 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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Made-up minds :a constructivist approach to artificial intelligence
Outgrowth of the author's thesis (Ph. D.)--Massachusetts Institute of Technology."Made-Up Minds addresses fundamental questions of learning and concept invention by means of an innovative computer program that is based on the cognitive-developmental theory of psychologist Jean Piaget. Drescher uses Piaget's theory as a source of inspiration for the design of an artificial cognitive system calle…
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- ISBN/ISSN
- 0585349851
- Collation
- 1 online resource (x, 220 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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Schools for thought :a science of learning in the classroom
"A Bradford book."OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262269384
- Collation
- 1 online resource (x, 324 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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Reliable reasoning :induction and statistical learning theory
"A Bradford book."The implications for philosophy and cognitive science of developments in statistical learning theory.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262274975
- Collation
- 1 online resource (x, 108 pages) :illustrations.
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