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Peter Norvig's libraryResults 91-110 of 174

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A Philosophical Essay on Probabilities

Pierre Simon Marquis De Laplace - 2007 - Mathematics - Limited preview
In this, his most famous work, Pierre-Simon, Marquis de Laplace lays out a system for reasoning based on probability. The single most famous piece introduced in this work is the rule of succession, which calculates the probability that a trial ...
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Pattern classification

Richard O. Duda, Peter E. Hart, David G. Stork - 2001 - Computers - Snippet view
This edition has been completely revised, enlarged and formatted in two colour. It is a systematic account of the major topics in pattern recognition, based on the fundamental principles. It includes extensive examples, exercises and a solutions ...
11 Reviews - Write review

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition

Ian H. Witten, Eibe Frank - 2005 - Computers - Limited preview
Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that ...
24 Reviews - Write review

The Elements of Statistical Learning: Data Mining, Inference, and Prediction ...

Trevor Hastie, Robert Tibshirani, Jerome Friedman - 2009 - Computers - Limited preview
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many ...
4 Reviews - Write review

The Nature of Statistical Learning Theory

Vladimir Vapnik - 1999 - Mathematics - Limited preview
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and ...
7 Reviews - Write review

Introduction to Statistical Relational Learning

Lise Getoor - 2007 - Computers - Limited preview
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.
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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.
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How to Build a Digital Library

Ian H. Witten, David Bainbridge - 2002 - Computers - Limited preview
Given modern society's need to control its ever-increasing body of information, digital libraries will be among the most important and influential institutions of this century. With their versatility, accessibility, and economy, these focused ...
2 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 ...
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Causality: Models, Reasoning, and Inference

Judea Pearl - 2000 - Philosophy - Limited preview
Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural ...
4 Reviews - Write review

Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Judea Pearl - 1988 - Computers - Limited preview
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of ...
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Readings in uncertain reasoning

Glenn Shafer - 1990 - Computers - Snippet view
Computing Methodologies -- Artificial Intelligence.
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Artificial Intelligence: A New Synthesis

Nils J. Nilsson - 1998 - Computers - No preview available
Nilsson employs increasingly capable intelligent agents in an evolutionary approach--a novel perspective from which to view and teach topics in artificial intelligence.
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Logical Foundations of Artificial Intelligence

Michael R. Genesereth - 1987 - Reference - Snippet view
Logical Foundations of Artificial Intelligence is an account of the fundamentals of artificial intelligence from the standpoint of logic.
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Artificial Intelligence: Structures and Strategies for Complex Problem Solving

George F. Luger - 2009 - Computers - Snippet view
In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence-solving the complex problems that arise wherever computer technology is applied. Key representation techniques including logic, semantic and ...
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Computation and Intelligence: Collected Readings

George F. Luger - 1995 - Computers - Snippet view
Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive bibliography, and clear presentation of the ...
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Cognitive Science: The Science of Intelligent Systems

George F. Luger - 1994 - Computers - Snippet view
The interdisciplinary field of cognitive science brings together elements of cognitive psychology, mathematics, perception, linguistics, and artificial intelligence. Given this breadth, textbooks have had difficulty providing balanced coverage ...
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Reasoning about Rational Agents

2000 - Limited preview
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Essentials of Game Theory: A Concise, Multidisciplinary Introduction

Kevin Leyton-Brown, Yoav Shoham - 2008 - Computers - Limited preview
Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology ...
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