3668 search results - page 433 / 734 » Margin Distribution and Learning |
195
click to vote
KDD
2004
ACM
16 years 7 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
156
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
126
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
172
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
167
click to vote
ALT
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...