2665 search results - page 258 / 533 » Bundle Methods for Machine Learning |
208
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
118
click to vote
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
149
click to vote
ECML
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
134
click to vote
ICML
1994
IEEE
15 years 6 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
142
click to vote
ECML
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...