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GRC
2010
IEEE
13 years 12 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
INFORMS
1998
100views more  INFORMS 1998»
13 years 10 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...
BMCBI
2010
106views more  BMCBI 2010»
13 years 11 months ago
Predicting MHC class I epitopes in large datasets
Background: Experimental screening of large sets of peptides with respect to their MHC binding capabilities is still very demanding due to the large number of possible peptide seq...
Kirsten Roomp, Iris Antes, Thomas Lengauer
SAC
2006
ACM
14 years 4 months ago
BioChain: lexical chaining methods for biomedical text summarization
Lexical chaining is a technique for identifying semanticallyrelated terms in text. We propose concept chaining to link semantically-related concepts within biomedical text togethe...
Lawrence H. Reeve, Hyoil Han, Ari D. Brooks
WINET
2010
180views more  WINET 2010»
13 years 9 months ago
An analytical model for performance evaluation of multimedia applications over EDCA in an IEEE 802.11e WLAN
—We extend the modeling heuristic of [1] to evaluate the performance of an IEEE 802.11e infrastructure network carrying packet telephone calls, streaming video sessions and TCP c...
Sri Harsha, Anurag Kumar, Vinod Sharma