241 search results - page 35 / 49 » Learning Classes of Probabilistic Automata |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
NIPS
2001
13 years 8 months ago
2001
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
AAAI
1998
13 years 8 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
MM
2005
ACM
14 years 28 days ago
2005
ACM
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...