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Peter Norvig's libraryResults 131-140 of 174

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The MIT Encyclopedia of the Cognitive Sciences

Robert Andrew Wilson, Frank C. Keil - 2001 - Psychology - Limited preview
A landmark, comprehensive reference work that represents the methodological and theoretical diversity of this changing field.
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Games of No Chance

Richard J. Nowakowski - 1998 - Mathematics - Limited preview
Is Nine-Men Morris, in the hands of perfect players, a win for white or for black - or a draw? Can king, rook, and knight always defeat king and two knights in chess? What can Go players learn from economists? What are nimbers, tinies, switches ...
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One Jump Ahead: Computer Perfection at Checkers

Jonathan Schaeffer - 2008 - Computers - Limited preview
It’s hard to believe that it’s been over a decade since One Jump Ahead: Challenging Human Supremacy at Checkers was published. I’m delighted to have the oppor- nity to update and expand the book. The ?rst edition ended on a sad note and that was ...
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Blondie24: Playing at the Edge of AI

David B. Fogel - 2002 - Computers - Limited preview
"Blondie24 tells the story of a computer that taught itself to play checkers far better than its creators ever could by emulating the principles of Darwinian evolution and discovering innovative ways to approach the game. In this year of 2001, as ...
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An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - 2000 - Computers - No preview available
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as ...
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Learning to Classify Text Using Support Vector Machines

Thorsten Joachims - 2002 - Computers - Limited preview
Based on ideas from Support Vector Machines (SVMs), Learning To Classify Text Using Support Vector Machines presents a new approach to generating text classifiers from examples. The approach combines high performance and efficiency with ...
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Learning with Kernels: Support Vector Machines, Regularization, Optimization ...

Bernhard Schölkopf, Alexander J. Smola - 2002 - Computers - Limited preview
A comprehensive introduction to Support Vector Machines and related kernel methods.
6 Reviews - Write review

Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges - 1999 - Computers - Limited preview
A young girl hears the story of her great-great-great-great- grandfather and his brother who came to the United States to make a better life for themselves helping to build the transcontinental railroad.
3 Reviews - Write review

Reinforcement Learning: An Introduction

Richard S. Sutton, Andrew G. Barto - 1998 - Computers - Limited preview
An account of key ideas and algorithms in reinforcement learning. The discussion ranges from the history of the field's intellectual foundations to recent developments and applications. Areas studied include reinforcement learning problems in ...
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An Introduction to Computational Learning Theory

Michael J. Kearns, Umesh Virkumar Vazirani - 1994 - Computers - Limited preview
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 ...
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