Synthesis Lectures on Artificial Intelligence and Machine Learning

Synthesis AIM @ www.morganclaypool.com

Edited by Ronald J. Brachman and Thomas G. Dietterich

2009

• Pedro Domingos, Daniel Lowd: Markov Logic: An Interface Layer for Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2009
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• Xiaojin Zhu, Andrew B. Goldberg: Introduction to Semi-Supervised Learning. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2009
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2008

• Michael Thielscher: Action Programming Languages. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2008
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• Sridhar Mahadevan: Representation Discovery using Harmonic Analysis. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2008
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• Kevin Leyton-Brown, Yoav Shoham: Essentials of Game Theory: A Concise Multidisciplinary Introduction. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2008
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2007

• Nikos Vlassis: A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2009
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• Peter Stone: Intelligent Autonomous Robotics: A Robot Soccer Case Study. Synthesis Lectures on Artificial Intelligence and Machine Learning Morgan & Claypool Publishers 2007
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