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A Genetic Algorithm Tutorial
| 2006 | This tutorial covers the canonical genetic algorithm as well as more experimental forms of genetic algorithms. |
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College Student’s Guide to Computers in Education
| 2007 | his book is for students currently enrolled in a college or university and students thinking of enrolling. This book is designed to help you make decisions throughout your educational experiences—decisions that will help you to get a better education. |
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Gaussian Processes for Machine Learning
| 2006 | The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. |
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Introduction to Machine Learning
| 1996 | 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. |
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Machine Interpretation of Line Drawings
| 1986 | This book presents a computational mechanism for the interpretation of line drawings by means of which a machine can extract three-dimensional object structures from their pictures drawn on a two-dimensional plane. |
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Machine Learning, Neural and Statistical Classification
| 1994 | 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. |
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Machine Perception
| 1982 | A book based on the the author's experiencing teaching graduate courses on machine perception. |
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Machine Vision: Automated Visual Inspection and Robot Vision
| 1991 | A book aiming to providing the reader with a solid grounding in the fundamental tools for image acquisition, processing, and analysis. |
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Planning Algorithms
| 2006 | 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. |
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Practical Artificial Intelligence Programming in Java
| 2005 | 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. |
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Reinforcement Learning: An Introduction
| 1998 | This book provides a clear and simple account of the key ideas and algorithms of reinforcement learning. |
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Uni-Processor Genetic Algorithm
| | 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. |
