605 search results - page 49 / 121 » Probabilistic state space search |
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
AROBOTS
1999
13 years 8 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
BMCBI
2005
13 years 8 months ago
2005
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
ECP
1997
Springer
14 years 29 days ago
1997
Springer
A possibilistic approach of planning under uncertainty has been developed recently. It applies to problems in which the initial state is partially known and the actions have graded...
ATAL
2010
Springer
13 years 10 months ago
2010
Springer
We present a new approach for finding generalized contingent plans with loops and branches in situations where there is uncertainty in state properties and object quantities, but ...