599 search results - page 27 / 120 » An Algorithm for Learning Abductive Rules |
119
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UAI
1997
15 years 4 months ago
1997
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
126
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NIPS
2008
15 years 4 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
115
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ISCAS
2003
IEEE
15 years 8 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
129
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CVPR
2007
IEEE
15 years 9 months ago
2007
IEEE
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
106
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ROBOCUP
2001
Springer
15 years 7 months ago
2001
Springer
This paper presents an evolutionary approach to learning a fuzzy logic controller(FLC) employed for reactive behaviour control of Sony legged robots. The learning scheme is divided...