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SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 5 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
ICAD
2004
15 years 5 months ago
Data Set Selection for a Constrained Simple Sonification
Previous work on the production and test of various sonifications has shown that adding a sonification to an interface can assist the execution of a variety of operator tasks [1,2...
Shawn C. Garner
ICML
2010
IEEE
15 years 5 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
IJAMC
2008
85views more  IJAMC 2008»
15 years 4 months ago
Scalable reputation management with trustworthy user selection for P2P MMOGs
: Recent research on Peer-to-Peer Massively Multiplayer Online Games (P2P MMOGs) has tried to find more scalable and affordable solutions to build virtual environments via the reso...
Guan-Yu Huang, Shun-Yun Hu, Jehn-Ruey Jiang
DAM
2007
91views more  DAM 2007»
15 years 4 months ago
Integer linear programming approaches for non-unique probe selection
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient tool for biological, medical, and industrial applications because of their abil...
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, M...