2190 search results - page 95 / 438 » Learning with the Set Covering Machine |
ECML
2003
Springer
14 years 2 months ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
COLT
2008
Springer
13 years 11 months ago
2008
Springer
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
CSDA
2007
13 years 9 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
EMNLP
2011
12 years 8 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...