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» Learning Weighted Automata
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75
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ICCBR
1997
Springer
15 years 3 months ago
Examining Locally Varying Weights for Nearest Neighbor Algorithms
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Nicholas Howe, Claire Cardie
101
Voted
DLOG
2010
14 years 9 months ago
Automata-Based Abduction for Tractable Diagnosis
Abstract. Abductive reasoning has been recognized as a valuable complement to deductive inference for tasks such as diagnosis and integration of incomplete information despite its ...
Thomas Hubauer, Steffen Lamparter, Michael Pirker
75
Voted
ICRA
2003
IEEE
116views Robotics» more  ICRA 2003»
15 years 4 months ago
Learning to role-switch in multi-robot systems
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
Eric Martinson, Ronald C. Arkin
ICASSP
2010
IEEE
14 years 11 months ago
A weighted discriminative approach for image denoising with overcomplete representations
We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
Amir Adler, Yacov Hel-Or, Michael Elad
82
Voted
UAI
2003
15 years 8 days ago
Locally Weighted Naive Bayes
Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by thes...
Eibe Frank, Mark Hall, Bernhard Pfahringer