Phase Transitions in Machine Learning By Lorenza Saitta, Attilio Giordana, Antoine Cornuejols
English | 2011 | 410 Pages | ISBN: 0521763916 | PDF | 4 MB
Phase transitions typically occur in combinatorial computational problems and desire important consequences, especially with the current cover of statistical relational learning as well for example sequence learning methodologies. In Phase Transitions in Machine Learning the authors set on foot by describing in detail this phenomenon, and the extensive experimental investigation that supports its nearness.
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