36 search results - page 2 / 8 » Maxi-Min Margin Machine: Learning Large Margin Classifiers L... |
IJCAI
2003
14 years 11 months ago
2003
We present an approximate policy iteration algorithm that uses rollouts to estimate the value of each action under a given policy in a subset of states and a classifier to general...
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
Large margin classifiers have demonstrated their advantages in many visual learning tasks, and have attracted much attention in vision and image processing communities. In this pa...
COLT
1998
Springer
15 years 1 months ago
1998
Springer
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
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GECCO
2006
Springer
15 years 1 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...