Title Statements
- Full title :Phase transitions in machine learning / Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols.
Summary
"Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning and 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 appropriate methods for tackling them"--
Read More ↓Edition Statements
- Publication Date:2011.
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:2011.
The Physical Object
- Description:1 ressource en ligne (xv, 383 pages) : : illustrations (en partie en couleur)
Edition Identifiers
- ISBN:9781139092869, 1139092863, 9781139090957, 113909095X, 9780511975509, 0511975503
- oclc:on1104458705
- LC Classification:Q324.4
- Dewey Decimal:006.3/1
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Phase Transitions in Machine Learning -- (.pdf)
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