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Found 210 from your keywords: subject="Learning"
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cover
Unsupervised learning :foundations of neural computation
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Hinton, Geoffrey E.Sejnowski, Terrence J.

A Bradford book."OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262288033
Collation
1 online resource (xvi, 398 pages) :illustrations.
Series Title
-
Call Number
-
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cover
Concepts, kinds, and cognitive development
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Keil, Frank C.,

In Concepts, Kinds, and Cognitive Development, Frank C. Keil provides a coherent account of how concepts and word meanings develop in children, adding to our understanding of the representational nature of concepts and word meanings at all ages. "A Bradford book."Includes indexes.OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262276900
Collation
1 online resource (xv, 328 pages) :illustrations.
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-
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-
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cover
Introduction to statistical relational learning
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Getoor, Lise.Taskar, Ben.

"Index" : an online index is available on the book webpage at http://www.cs.umd.edu/srl-book/index.htm.Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262256230
Collation
1 online resource (ix, 586 pages) :illustrations.
Series Title
-
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-
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cover
Machine Learning (Revised And Updated Edition)
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Alpaydin, Ethem,

"An updated introduction for generalists to this powerful technology, its applications and possible future directions"--OCLC-licensed vendor bibliographic record.

Edition
Revised and updated edition.
ISBN/ISSN
9780262365369
Collation
1 online resource.
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-
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-
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cover
Advances in large margin classifiers
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Smola, Alexander J.

The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a …

Edition
-
ISBN/ISSN
9780262283977
Collation
1 online resource (vi, 412 pages) :illustrations.
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-
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-
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cover
Advances in minimum description length :theory and applications
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Gr?unwald, Peter D.Myunvg, In Jae.Pitt, Mark A.

A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.The process of inductive inference--to infer general laws and principles from particular instances--is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (M…

Edition
-
ISBN/ISSN
9780262274463
Collation
1 online resource (x, 444 pages) :illustrations.
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-
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-
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cover
An odyssey in learning and perception
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Gibson, Eleanor J.

"A Bradford book."Collection of articles in perception and action, published from the 1930's to the present.Collection of articles in perception and action, published from the 1930's to the present.OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262273794
Collation
1 online resource (xvi, 638 pages) :illustrations.
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-
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-
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cover
The Development of speech perception: the transition from speech sounds to sp…
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Goodman, Judith C.NASBAUM, Howard C.

This comprehensive collection of current research in the development of speech perception and perceptual learning documents the striking changes that take place both in early childhood and throughout life and speculates about the mechanisms responsible for those changes. The findings reported from this rich and active field address the role of growing linguistic knowledge and experience and dem…

Edition
-
ISBN/ISSN
9780262274081
Collation
1 online resource (xii, 351 pages) :illustrations
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-
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-
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cover
An introduction to computational learning theory
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Kearns, Michael J.Vazirani, Umesh Virkumar.

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with th…

Edition
-
ISBN/ISSN
0585350531
Collation
1 online resource (xii, 207 pages) :illustrations
Series Title
-
Call Number
005 KEA i
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cover
Perceptual learning
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Fahle, Manfred.Poggio, Tomaso.

"A Bradford book."Perceptual learning is the specific and relatively permanent modification of perception and behavior following sensory experience. It encompasses parts of the learning process that are independent from conscious forms of learning and involve structural and/or functional changes in primary sensory cortices. A familiar example is the treatment for a "lazy" or crossed eye. Coveri…

Edition
-
ISBN/ISSN
9780262272469
Collation
1 online resource (xx, 455 pages) :illustrations.
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-
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-
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