17 search results - page 1 / 4 » Classifier Learning with Supervised Marginal Likelihood |
UAI
2001
13 years 6 months ago
2001
ECML
2006
Springer
13 years 8 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
ESANN
2006
13 years 6 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
TIP
2008
13 years 4 months ago
2008
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
IJCAI
2003
13 years 6 months ago
2003
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...