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Artificial Intelligence Books, Documents, and Lectures

Title Year Description
A Brief Introduction to Genetic Algorithms A Brief Introduction to Genetic Algorithms 2002 Description A brief introduction to Genetic Algorithms
A Field Guide to Genetic Programming A Field Guide to Genetic Programming 2008 Description The Field Guide is a clear and concise introduction and reference to all things genetic programming related.
A Genetic Algorithm Tutorial A Genetic Algorithm Tutorial 2006 Description This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms.
Gaussian Processes for Machine Learning Gaussian Processes for Machine Learning 2006 Description The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms.
Introduction to Machine Learning Introduction to Machine Learning 1996 Description The author's intention in this book is to pursue a middle ground between a theoretical text book and one that focuses on applications. The book concentrates on the important ideas in machine learning.
Machine Learning, Neural and Statistical Classification Machine Learning, Neural and Statistical Classification 1994 Description The aim of this book is to provide an up-to-date review of different approaches to classification, compare their performance on a wide range of challenging data-sets, and draw conclusions on their applicability to realistic industrial problems.
Machine Perception Machine Perception 1982 Description A book based on the the author's experiencing teaching graduate courses on machine perception.
Machine Vision: Automated Visual Inspection and Robot Vision Machine Vision: Automated Visual Inspection and Robot Vision 1991 Description A book aiming to providing the reader with a solid grounding in the fundamental tools for image acquisition, processing, and analysis.
Planning Algorithms Planning Algorithms 2006 Description This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics.
Practical Artificial Intelligence Programming in Java Practical Artificial Intelligence Programming in Java 2005 Description Written in the "cookbook" style, this book discusses search algorithms, natural language processing, expert systems, genetic algorithms, neural networks, machine learning, statistical natural language processing and spam email detection.
Reinforcement Learning: An Introduction Reinforcement Learning: An Introduction 1998 Description This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning.
Uni-Processor Genetic Algorithm Uni-Processor Genetic Algorithm Description UGA is an object oriented genetic algorithm package developed by Martin Smith. It implements a multi-population GA on a single processor. In addition there are extensive class libraries which facilitate the development of genetic algorithm.
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