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Phase Transitions in Machine Learning


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Phase transitions usually occur in combinatorial and computational issues have important consequences, especially with the current spread of statistical relational learning and sequence learning methodology. Weaving together the fundamental aspects of computer science, statistical physics and machine learning, this book gives enough background and mathematical physics to make the subject understandable to the researchers in AI and other computer science community.

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