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» Purposeful selection of variables in logistic regression
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NIPS
2004
13 years 7 months ago
Computing regularization paths for learning multiple kernels
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
Francis R. Bach, Romain Thibaux, Michael I. Jordan
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 6 months ago
A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables
The LETOR website contains three information retrieval datasets used as a benchmark for testing machine learning ideas for ranking. Algorithms participating in the challenge are re...
Nir Ailon
JAMDS
2002
107views more  JAMDS 2002»
13 years 6 months ago
Estimating a resource selection function with line transect sampling
Abstract. A resource selection probability function is a function that gives the probability that a resource unit (e.g., a plot of land) that is described by a set of habitat varia...
Bryan F. J. Manly
MICCAI
2008
Springer
14 years 7 months ago
Analysis of Surfaces Using Constrained Regression Models
We present a study of the relationship between the changes in the shape of the human ear due to jaw movement and acoustical feedback (AF) in hearing aids. In particular, we analyze...
Sune Darkner, Mert R. Sabuncu, Polina Golland, ...
BMCBI
2007
111views more  BMCBI 2007»
13 years 6 months ago
MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs
Background: A combination of multiple types of transcription factors and cis-regulatory elements is often required for gene expression in eukaryotes, and the combinatorial regulat...
Mamoru Kato, Tatsuhiko Tsunoda