995 search results - page 45 / 199 » Learning Useful Horn Approximations |
ATMOS
2007
13 years 11 months ago
2007
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
JMLR
2008
13 years 9 months ago
2008
We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
EUROCOLT
1999
Springer
14 years 2 months ago
1999
Springer
Abstract. Recent works have shown the advantage of using Active Learning methods, such as the Query by Committee (QBC) algorithm, to various learning problems. This class of Algori...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...