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» Combining Estimators Using Non-Constant Weighting Functions
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NIPS
1998
15 years 5 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
TVCG
2012
192views Hardware» more  TVCG 2012»
13 years 7 months ago
Real-Time Rendering of Rough Refraction
—We present an algorithm to render objects made of transparent materials with rough surfaces in real-time, under all-frequency distant illumination. Rough surfaces cause wide sca...
Charles de Rousiers, Adrien Bousseau, Kartic Subr,...
CIKM
1999
Springer
15 years 8 months ago
A General Language Model for Information Retrieval
Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing. Recently, it has also been applied to information r...
Fei Song, W. Bruce Croft
170
Voted
ICALP
2011
Springer
14 years 8 months ago
On Tree-Constrained Matchings and Generalizations
We consider the following Tree-Constrained Bipartite Matching problem: Given two rooted trees T1 = (V1, E1), T2 = (V2, E2) and a weight function w : V1 × V2 → R+, find a maximu...
Stefan Canzar, Khaled M. Elbassioni, Gunnar W. Kla...
133
Voted
BMCBI
2006
154views more  BMCBI 2006»
15 years 4 months ago
An improved procedure for gene selection from microarray experiments using false discovery rate criterion
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
James J. Yang, Mark C. K. Yang