1164 search results - page 75 / 233 » A Model Selection Approach for Local Learning |
128
Voted
ICRA
2010
IEEE
15 years 14 days ago
2010
IEEE
Reliable and efficient navigation with a humanoid robot is a difficult task. First, the motion commands are executed rather inaccurately due to backlash in the joints or foot slipp...
108
Voted
ATAL
2008
Springer
15 years 4 months ago
2008
Springer
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
127
Voted
ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
111
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
This paper presents an approach to combine competent crossover and mutation operators via probabilistic model building. Both operators are based on the probabilistic model buildin...
122
Voted
ICANNGA
2009
Springer
15 years 9 months ago
2009
Springer
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...