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Phase Transitions in Machine Learning

Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols




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 | #4414804 in Books |  Cambridge University Press |  2011-07-25 | Original language:English | PDF # 1 |  9.69 x1.06 x7.44l,2.20 | File type: PDF | 410 pages

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||0 of 3 people found the following review helpful.| Five Stars|By Lappoon Rupert Tang|Book arrived perfectly.| |"... it is still an open question whether this will be one of the basic tools for understanding machine learning problems and methods in the future. Naturally, this book is an essential source for researchers who want to find answers to these questions."

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropria...

You easily download any file type for your device.Phase Transitions in Machine Learning   |  Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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