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» Introduction to Statistical Learning Theory
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SSDBM
2005
IEEE
100views Database» more  SSDBM 2005»
13 years 11 months ago
An Information Theoretic Model for Database Alignment
As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
Patrick Pantel, Andrew Philpot, Eduard H. Hovy
BMCBI
2010
214views more  BMCBI 2010»
13 years 5 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
BMCBI
2008
100views more  BMCBI 2008»
13 years 5 months ago
PatternLab for proteomics: a tool for differential shotgun proteomics
Background: A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform...
Paulo C. Carvalho, Juliana S. G. Fischer, Emily I....
IJCV
2007
363views more  IJCV 2007»
13 years 5 months ago
Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion
Abstract. Inspired by the early visual system of many mammalians we consider the construction of-and reconstruction from- an orientation score Uf : R2 ×S1 → C as a local orienta...
Remco Duits, Michael Felsberg, Gösta H. Granl...
TNN
2010
234views Management» more  TNN 2010»
12 years 12 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes