566 search results - page 22 / 114 » A Bayesian Approach to Semi-Supervised Learning |
102
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
108
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
121
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KDD
1995
ACM
15 years 5 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
134
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
108
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...