81 search results - page 6 / 17 » Partially observable Markov decision processes for spoken di... |
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
In multiagent planning, it is often convenient to view a problem as two subproblems: agent local planning and coordination. Thus, we can classify agent activities into two categor...
FLAIRS
2001
13 years 9 months ago
2001
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
DATE
2008
IEEE
14 years 2 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
IUI
2010
ACM
14 years 4 months ago
2010
ACM
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...