1034 search results - page 38 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
JMLR
2010
14 years 4 months ago
2010
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
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CVPR
2012
IEEE
13 years 4 days ago
2012
IEEE
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
ECML
2001
Springer
15 years 2 months ago
2001
Springer
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...