1180 search results - page 47 / 236 » An Instance Selection Approach to Multiple Instance Learning |
AAAI
2012
11 years 11 months ago
2012
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
AUTONOMICS
2007
ACM
14 years 26 days ago
2007
ACM
Self-management is a key feature of autonomic systems. This often demands the dynamic reconfiguration of a distributed application. An important issue in the reconfiguration proce...
JMLR
2010
13 years 3 months ago
2010
We propose a novel application of the Simultaneous Orthogonal Matching Pursuit (SOMP) procedure to perform variable selection in ultra-high dimensional multiple output regression ...
LION
2010
Springer
14 years 26 days ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...