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» Fuzzy sets in machine learning and data mining
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MT
2007
100views more  MT 2007»
15 years 3 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
JMLR
2010
101views more  JMLR 2010»
14 years 11 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
ICML
2009
IEEE
16 years 5 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 4 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
ISCIS
2009
Springer
15 years 8 months ago
PopulusLog: People information database
—Information about individuals on publicly available web sites stands as a valuable, yet unorganized, data source. Turning such an enormous data source into a “database” is h...
Ali Cakmak, Mustafa Kirac, Gultekin Özsoyoglu