750 search results - page 78 / 150 » Learning SVMs from Sloppily Labeled Data |
UMUAI
2008
13 years 9 months ago
2008
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
IJCAI
2007
13 years 10 months ago
2007
Given sensors to detect object use, commonsense priors of object usage in activities can reduce the need for labeled data in learning activity models. It is often useful, however,...
COLT
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...