220 search results - page 10 / 44 » Learning probabilistic decision graphs |
ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
FLAIRS
2001
13 years 8 months ago
2001
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
AAAI
2008
13 years 9 months ago
2008
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...