61 search results - page 6 / 13 » Adaptive Importance Sampling with Automatic Model Selection ... |
EAAI
2007
13 years 7 months ago
2007
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine generated explanations have been produced from a particular perspec...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
ICDT
2010
ACM
14 years 5 months ago
2010
ACM
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...