65 search results - page 3 / 13 » Convergence of a Generalized Gradient Selection Approach for... |
ECML
2007
Springer
13 years 11 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
SADM
2008
13 years 5 months ago
2008
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
INFOCOM
2007
IEEE
13 years 12 months ago
2007
IEEE
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
IWANN
2007
Springer
13 years 11 months ago
2007
Springer
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...