2190 search results - page 81 / 438 » Learning with the Set Covering Machine |
136
Voted
NIPS
1998
15 years 4 months ago
1998
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
131
Voted
MLDM
2007
Springer
15 years 9 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
97
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
140
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...