24 search results - page 5 / 5 » Online convex optimization in the bandit setting: gradient d... |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
ICDCS
2007
IEEE
13 years 8 months ago
2007
IEEE
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
ESANN
2006
13 years 6 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...