995 search results - page 74 / 199 » Learning Useful Horn Approximations |
125
Voted
NIPS
2008
15 years 2 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
88
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
109
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COLT
2003
Springer
15 years 6 months ago
2003
Springer
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
128
Voted
JCSS
2008
15 years 20 days ago
2008
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
113
Voted
RSKT
2009
Springer
15 years 7 months ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...