3837 search results - page 165 / 768 » Learning Approximate Consistencies |
127
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ICPR
2010
IEEE
15 years 9 months ago
2010
IEEE
A method for Gaussian process learning of a scalar function from a set of pair-wise order relationships is presented. Expectation propagation is used to obtain an approximation to...
155
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NIPS
2004
15 years 6 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
140
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ML
2008
ACM
15 years 4 months ago
2008
ACM
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...
158
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
134
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...