206 search results - page 28 / 42 » Learning Heuristic Functions from Relaxed Plans |
CIKM
2000
Springer
15 years 2 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
TEC
2008
14 years 9 months ago
2008
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
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AADA
2011
13 years 9 months ago
2011
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
TSMC
1998
14 years 9 months ago
1998
Abstract—We present a general scheme for learning sensorimotor tasks which allows rapid on-line learning and generalization of the learned knowledge to unfamiliar objects. The sc...
WSDM
2009
ACM
15 years 4 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...