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154
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BMCBI
2006
129views more  BMCBI 2006»
15 years 4 months ago
Identifying genes that contribute most to good classification in microarrays
Background: The goal of most microarray studies is either the identification of genes that are most differentially expressed or the creation of a good classification rule. The dis...
Stuart G. Baker, Barnett S. Kramer
DM
2006
128views more  DM 2006»
15 years 4 months ago
Non-trivial t-designs without repeated blocks exist for all t
A computer package is being developed at Bayreuth for the generation and investigation of discrete structures. The package is a C and C++ class library of powerful algorithms endow...
Luc Teirlinck
121
Voted
BMCBI
2007
178views more  BMCBI 2007»
15 years 4 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
JMIV
2006
91views more  JMIV 2006»
15 years 4 months ago
Harmonic Embeddings for Linear Shape Analysis
We present a novel representation of shape for closed contours in R2 or for compact surfaces in R3 explicitly designed to possess a linear structure. This greatly simplifies linear...
Alessandro Duci, Anthony J. Yezzi, Stefano Soatto,...
JMLR
2006
108views more  JMLR 2006»
15 years 4 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...