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Found 55 from your keywords: subject="Machine Learning"
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cover
The deep learning revolution
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Sejnowski, Terrence J.

How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning netwo…

Edition
-
ISBN/ISSN
9780262346825
Collation
1 online resource.
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-
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-
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cover
Graphical models for machine learning and digital communication
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Frey, Brendan J.

"A Bradford book."Content DescriptionOCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
0585024413
Collation
1 online resource (xiii, 195 pages) : illustrations
Series Title
Adaptive Computation and Machine Learning series
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-
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cover
How to build a person : a prolegomenon
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Pollock, John L.

"A Bradford book."Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons.Building a person has been an elusive goal in artificial intelligence. This failure, John Pollock argues, is because the problems involved are essentially philosophical; what is needed for the construction of a person is a p…

Edition
-
ISBN/ISSN
0585336997
Collation
1 online resource (xi, 189 pages) : illustrations
Series Title
-
Call Number
001 POL h
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cover
Imitation in animals and artifacts
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Nehaniv, Chrystopher L.,Dautenhahn, Kerstin.

"A Bradford book."Papers presented at a meeting held in Edinburgh, Scotland, Apr. 7-9, 1999.The effort to explain the imitative abilities of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology, neuroscience, primatology, and linguistics. This volume represents a first step toward integrating research from thos…

Edition
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ISBN/ISSN
9780262271219
Collation
1 online resource (xv, 607 pages) : illustrations.
Series Title
Complex Adaptive Systems
Call Number
301 IMI
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cover
Immunological bioinformatics
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Lund, Ole

"This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful of immunologists, biologists, and…

Edition
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ISBN/ISSN
9780262323338
Collation
1 online resource (xii, 296 pages, 24 unnumbered pages of plates) : illustrations (some color).
Series Title
Computational Molecular Biology
Call Number
001 LUN i
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cover
Machine learning in non-stationary environments :introduction to covariate sh…
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Sugiyama, Masashi,Kawanabe, Motoaki.

As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robo…

Edition
-
ISBN/ISSN
9780262301220
Collation
1 online resource (xiv, 261 pages) :illustrations.
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-
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-
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cover
Nearest-neighbor methods in learning and vision :theory and practice
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Shakhnarovich, Gregory.Darrell, Trevor.Indyk, Piotr.

" ... held in Whistler, British Columbia ... annual conference on Neural Information Processing Systems (NIPS) in December 2003"--Preface.Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, ma…

Edition
-
ISBN/ISSN
9780262256957
Collation
1 online resource (vi, 252 pages) :illustrations.
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-
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-
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cover
Learning Kernel Classifiers: Theory and Algorithms
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Herbrich, Ralf.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…

Edition
1
ISBN/ISSN
9780262256339
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-
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-
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-
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cover
Truth from Trash: How Learning Makes Sense
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Thornton, Christopher J.,

AnnotationOCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262284981
Collation
1 online resource (126 pages).
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-
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-
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cover
Cognitive Carpentry: A Blueprint for How to Build a Person
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Pollock, John L.

A sequel to Pollock's How to Build a Person, this volume builds upon that theoretical groundwork for the implementation of rationality through artificial intelligence. Pollock argues that progress in AI has stalled because of its creators' reliance upon unformulated intuitions about rationality. Instead, he bases the OSCAR architecture upon an explicit philosophical theory of rationality, encom…

Edition
-
ISBN/ISSN
9780262281751
Collation
1 online resource (xiii, 377 pages) :illustrations
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-
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-
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