215 search results - page 3 / 43 » Coarse-to-Fine Inference and Learning for First-Order Probab... |
JAIR
1998
13 years 5 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
ALT
2010
Springer
13 years 2 months ago
2010
Springer
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...