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ICML
2009
IEEE
14 years 9 months ago
Group lasso with overlap and graph lasso
We propose a new penalty function which, when used as regularization for empirical risk minimization procedures, leads to sparse estimators. The support of the sparse vector is ty...
Laurent Jacob, Guillaume Obozinski, Jean-Philippe ...
MICCAI
2004
Springer
14 years 9 months ago
Cervical Cancer Detection Using SVM Based Feature Screening
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
Jiayong Zhang, Yanxi Liu
BMCBI
2004
114views more  BMCBI 2004»
13 years 8 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
ISIWI
2000
13 years 10 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
ISNN
2005
Springer
14 years 2 months ago
An Information Criterion for Informative Gene Selection
It is important in bioinformatics research and applications to select or discover informative genes of a tumor from microarray data. However, most of the existing methods are based...
Fei Ge, Jinwen Ma