11168 search results - page 200 / 2234 » Abstract State Processes |
150
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
162
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SOCO
2005
Springer
15 years 12 months ago
2005
Springer
Aspects that trigger on a sequence of join points instead of on a single join point are not explicitly supported in current AspectOriented approaches. Explicit protocols are howeve...
175
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SIGMETRICS
2000
ACM
15 years 10 months ago
2000
ACM
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
163
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AAAI
2007
15 years 8 months ago
2007
My research focus is on using continuous state partially observable Markov decision processes (POMDPs) to perform object manipulation tasks using a robotic arm. During object mani...
191
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FLAIRS
2008
15 years 8 months ago
2008
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...