334 search results - page 60 / 67 » Time representations and mathematical models for process sch... |
NIPS
2004
13 years 10 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
ATAL
2008
Springer
13 years 11 months ago
2008
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute an expressive framework for multiagent planning under uncertainty, but solving them is provabl...
JMLR
2012
11 years 11 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
IJRR
2010
13 years 7 months ago
2010
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
RSP
2006
IEEE
14 years 3 months ago
2006
IEEE
Embedded real-time multimedia applications usually imply data parallel processing. SIMD processors embedded in SOCs are cost-effective to exploit the underlying parallelism. Howev...