Phase transitions in machine learning /
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TextPublication details: Cambridge ; New York : Cambridge University Press, 2011Description: xv, 383 p. : illISBN: 9780521763912 (hardback); 0521763916 (hardback)Subject(s): Machine learning | Phase transformations (Statistical physics)DDC classification: 006.3 1 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"--
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK
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Kannur University Central Library Stack | Stack | 006.3 1 SAI/P (Browse shelf (Opens below)) | Available | 31351 |
"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"--
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