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171
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NIPS
1992
15 years 7 months ago
1992
We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a fr...
138
Voted
CORR
2002
Springer
15 years 6 months ago
2002
Springer
In this paper, we review five heuristic strategies for handling context-sensitive features in supervised machine learning from examples. We discuss two methods for recovering lost...
165
Voted
ACMSE
2010
ACM
15 years 4 months ago
2010
ACM
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...
166
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ICCV
1998
IEEE
16 years 8 months ago
1998
IEEE
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
148
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DATE
2009
IEEE
16 years 28 days ago
2009
IEEE
— Today's innovations in the automotive sector are, to a great extent, based on electronics. The increasing integration complexity and stringent cost reduction goals turn E/...