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» Using and Combining Predictors That Specialize
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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 1 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
94
Voted
BMCBI
2008
111views more  BMCBI 2008»
14 years 9 months ago
SciDBMaker: new software for computer-aided design of specialized biological databases
Background: The exponential growth of research in molecular biology has brought concomitant proliferation of databases for stocking its findings. A variety of protein sequence dat...
Riadh Hammami, Abdelmajid Zouhir, Karim Naghmouchi...
ICTAI
2010
IEEE
14 years 7 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...
HPCA
2009
IEEE
15 years 4 months ago
Reconciling specialization and flexibility through compound circuits
While parallelism and multi-cores are receiving much attention as a major scalability path, customization is another, orthogonal and complementary, scalability path which can targ...
Sami Yehia, Sylvain Girbal, Hugues Berry, Olivier ...
BMCBI
2010
84views more  BMCBI 2010»
14 years 9 months ago
Testing the additional predictive value of high-dimensional molecular data
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
Anne-Laure Boulesteix, Torsten Hothorn