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Genetic Algorithms in Search, Optimization and Machine Learning
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Introduction to the Theory of Computation
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Machine Learning (McGraw-Hill Series in Computer Science)
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An Introduction to Support Vector Machines : And Other Kernel-Based Learning Methods
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Reinforcement Learning : An Introduction (Adaptive Computation and Machine Learning)
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Learning from Data : Concepts, Theory, and Methods (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
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Advances in Kernel Methods : Support Vector Learning
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Learning in Graphical Models (Adaptive Computation and Machine Learning)
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Graphical Models for Machine Learning and Digital Communication (Adaptive Computation and Machine Learning)
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Introduction to Formal Languages and Automata
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Machine Learning and Data Mining: Methods and Applications
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Perceptrons : Introduction to Computational Geometry
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An Introduction to Computational Learning Theory
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Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
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Computer Systems That Learn : Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems
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Truth from Trash : How Learning Makes Sense (Complex Adaptive Systems)
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Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents)
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Robot Shaping : An Experiment in Behavior Engineering (Intelligent Robotics and Autonomous Agents)
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Neural Networks and Machine Learning (NATO Asi Series. Series F, Computer and Systems Sciences, Vol 168)
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Genetic Algorithms for Pattern Recognition
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Machine Learning : Proceedings of the Sixteenth International Conference (Icml '99)
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Computation & Intelligence : Collected Readings
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A Theory of Learning and Generalization : With Applications to Neural Networks and Control Systems (Communications and Control Engineering)
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