50 search results - page 8 / 10 » Learning Weights in Discrimination Functions Using a priori ... |
EMNLP
2008
13 years 7 months ago
2008
This paper describes a new automatic method for Japanese predicate argument structure analysis. The method learns relevant features to assign case roles to the argument of the tar...
CVPR
2010
IEEE
13 years 12 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
NIPS
1998
13 years 7 months ago
1998
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
AI
2008
Springer
13 years 6 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
COLT
2007
Springer
14 years 13 days ago
2007
Springer
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...