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ESANN
2006
13 years 8 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...
NIPS
2003
13 years 8 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
BMCBI
2006
148views more  BMCBI 2006»
13 years 6 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
ICIAP
2009
ACM
13 years 4 months ago
Video Event Classification Using Bag of Words and String Kernels
Abstract. The recognition of events in videos is a relevant and challenging task of automatic semantic video analysis. At present one of the most successful frameworks, used for ob...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
IWAN
2004
Springer
14 years 2 days ago
GateScript: A Scripting Language for Generic Active Gateways
In this paper, we present GateScript, a scripting language for active applications to be executed on generic active gateways. Unlike other active networking platforms, it offers a...
Hoa-Binh Nguyen, Andrzej Duda