2190 search results - page 241 / 438 » Learning with the Set Covering Machine |
ECML
2004
Springer
14 years 4 months ago
2004
Springer
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
AI
2007
Springer
14 years 2 months ago
2007
Springer
This study emphasizes the importance of using appropriate measures in particular text classification settings. We focus on methods that evaluate how well a classifier performs. The...
BMCBI
2007
13 years 10 months ago
2007
Background: Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for auto...
JMLR
2010
13 years 5 months ago
2010
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...