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» Stochastic Filtering in a Probabilistic Action Model
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JAIR
2007
127views more  JAIR 2007»
13 years 5 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
ICCV
2005
IEEE
14 years 7 months ago
Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter
The recognition of facial gestures and expressions in image sequences is an important and challenging problem. Most of the existing methods adopt the following paradigm. First, fa...
Fadi Dornaika, Franck Davoine
ECAI
2008
Springer
13 years 7 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
AIPS
2008
13 years 7 months ago
Stochastic Enforced Hill-Climbing
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Jia-Hong Wu, Rajesh Kalyanam, Robert Givan
TGC
2010
Springer
13 years 3 months ago
Uniform Labeled Transition Systems for Nondeterministic, Probabilistic, and Stochastic Processes
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chain...
Marco Bernardo, Rocco De Nicola, Michele Loreti