252 search results - page 16 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
102
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ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
CVPR
2007
IEEE
2007
IEEE
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
16 years 1 months ago
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
JMLR
2006
14 years 11 months ago
2006
We propose a novel approach to optimize Partially Observable Markov Decisions Processes (POMDPs) defined on continuous spaces. To date, most algorithms for model-based POMDPs are ...
PTS
2007
15 years 1 months ago
2007
Abstract. We investigate the use of parameterized state machine models to drive integration testing, in the case where the models of components are not available beforehand. Theref...
100
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SIGECOM
2006
ACM
15 years 5 months ago
2006
ACM
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...