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Peter Norvig's libraryResults 11-20 of 22

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Probabilistic Graphical Models: Principles and Techniques

Daphne Koller, Nir Friedman - 2009 - Computers - Limited preview
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
5 Reviews - Write review

Data Mining: Practical Machine Learning Tools and Techniques with Java ...

Ian H. Witten, Eibe Frank - 2000 - Computers - Limited preview
This book offers a thorough grounding in machine learning concepts combined with practical advice on applying machine learning tools and techniques in real-world data mining situations. Clearly written and effectively illustrated, this book is ...
20 Reviews - Write review

An Introduction to Genetic Algorithms

Melanie Mitchell - 1998 - Computers - Limited preview
Genetic algorithms are used in science and engineering for problem solving and as computational models. This brief introduction enables readers to implement and experiment with genetic algorithms on their own. The descriptions of applications and ...
10 Reviews - Write review

Genetic Algorithms in Search, Optimization, and Machine Learning

David Edward Goldberg - 1989 - Computers - Snippet view
This text introduces the theory, operation, and application of genetic algorithms- search algorithms based on the mechanics of natural selection and genetics. Although genetic algorithms are already considered to be an important methodology in ...
4 Reviews - Write review

The Design of Innovation: Lessons from and for Competent Genetic ...

David Edward Goldberg - 2002 - Computers - Limited preview
This volume shows readers how to design and implement genetic algorithms thatsolve hard problems quickly, reliably, and accurately.
1 Review - Write review

An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - 2000 - Computers - Limited preview
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 ...
5 Reviews - Write review

Learning to Classify Text Using Support Vector Machines

Thorsten Joachims - 2002 - Computers - Limited preview
Text Classification, or the task of automatically assigning semantic categories to natural language text, has become one of the key methods for organizing online information. Since hand-coding classification rules is costly or even impractical ...
1 Review - Write review

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.
7 Reviews - Write review

Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola - 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

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 ...
14 Reviews - Write review