566 search results - page 34 / 114 » A Bayesian Approach to Semi-Supervised Learning |
162
Voted
Publication
We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...
110
Voted
AUSAI
2004
Springer
15 years 8 months ago
2004
Springer
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
113
Voted
CVPR
2001
IEEE
16 years 4 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
143
Voted
ACL
2012
13 years 5 months ago
2012
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
131
Voted
PPSN
2004
Springer
15 years 8 months ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...