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CORR
2012
Springer

214views Education» more CORR 2012»

Stochastic Low-Rank Kernel Learning for Regression

12 years 3 months ago

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We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...

Pierre Machart, Thomas Peel, Liva Ralaivola, Sandr...

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ECML
2003
Springer

118views Machine Learning» more ECML 2003»

A Markov Network Based Factorized Distribution Algorithm for Optimization

14 years 22 days ago

Download ducati.doc.ntu.ac.uk

Roberto Santana

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COLT
2006
Springer

104views Machine Learning» more COLT 2006»

On Optimal Learning Algorithms for Multiplicity Automata

13 years 11 months ago

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Laurence Bisht, Nader H. Bshouty, Hanna Mazzawi

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ICML
2003
IEEE

157views Machine Learning» more ICML 2003»

Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors

14 years 8 months ago

Download www.aaai.org

Dennis DeCoste, Dominic Mazzoni

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COLT
2008
Springer

96views Machine Learning» more COLT 2008»

Stochastic Linear Optimization under Bandit Feedback

13 years 9 months ago

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