81 search results - page 6 / 17 » Partially observable Markov decision processes for spoken di... |
74
Voted
ATAL
2007
Springer
15 years 1 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
14 years 11 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
15 years 4 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
14 years 10 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
15 years 6 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...