995 search results - page 34 / 199 » Learning Useful Horn Approximations |
ICML
2005
IEEE
14 years 10 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
ESSMAC
2003
Springer
14 years 3 months ago
2003
Springer
We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
MICCAI
2007
Springer
14 years 10 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
NIPS
2000
13 years 11 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
ICCBR
2003
Springer
14 years 3 months ago
2003
Springer
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...