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CORR
2012
Springer
214views Education» more  CORR 2012»
13 years 7 months ago
Stochastic Low-Rank Kernel Learning for Regression
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...
COLT
2006
Springer
15 years 3 months ago
On Optimal Learning Algorithms for Multiplicity Automata
Laurence Bisht, Nader H. Bshouty, Hanna Mazzawi
57
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COLT
2008
Springer
15 years 1 months ago
Stochastic Linear Optimization under Bandit Feedback
Varsha Dani, Thomas P. Hayes, Sham M. Kakade