16218 search results - page 381 / 3244 » Standards |
191
Voted
ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
179
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
200
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We investigate how stack filter function classes like weighted order statistics can be applied to classification problems. This leads to a new design criteria for linear classifie...
182
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
187
click to vote
ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...