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» Large-Scale Data Analysis Using Heuristic Methods
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ESANN
2006
15 years 4 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
139
Voted
BMCBI
2010
109views more  BMCBI 2010»
15 years 3 months ago
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Background: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially th...
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun ...
BMCBI
2007
109views more  BMCBI 2007»
15 years 3 months ago
A domain-based approach to predict protein-protein interactions
Background: Knowing which proteins exist in a certain organism or cell type and how these proteins interact with each other are necessary for the understanding of biological proce...
Mudita Singhal, Haluk Resat
NIPS
2008
15 years 4 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
145
Voted
IPTPS
2005
Springer
15 years 9 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...