132 search results - page 16 / 27 » Relational Partially Observable MDPs |
MVA
1998
13 years 11 months ago
1998
common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
GLOBECOM
2009
IEEE
14 years 4 months ago
2009
IEEE
—Current 802.11 networks do not typically achieve the maximum potential throughput despite link adaptation and crosslayer optimization techniques designed to alleviate many cause...
CP
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. In the last decades, the Satisfiability and Constraint Satisfaction Problem frameworks were extended to integrate aspects such as uncertainties, partial observabilities, ...
NIPS
1998
13 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
JMLR
2008
13 years 9 months ago
2008
Causal reasoning is primarily concerned with what would happen to a system under external interventions. In particular, we are often interested in predicting the probability distr...