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ECML
2006
Springer
15 years 7 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
TREC
1998
15 years 4 months ago
DSIR: the First TREC-7 Attempt
This paper describes our first large-scale retrieval attempt in TREC-7 using DSIR. DSIR is a vector space based retrieval system in which semantic similarity between words, docume...
Arnon Rungsawang
JMLR
2008
117views more  JMLR 2008»
15 years 3 months ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer
JEA
2008
112views more  JEA 2008»
15 years 3 months ago
Dynamic spatial approximation trees
The Spatial Approximation Tree (sa-tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alternative data...
Gonzalo Navarro, Nora Reyes
ADCM
2011
14 years 10 months ago
The missing Wendland functions
Abstract: The Wendland radial basis functions [8, 9] are piecewise polynomial compactly supported reproducing kernels in Hilbert spaces which are norm–equivalent to Sobolev space...
Robert Schaback