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» New Algorithms for Statistical Analysis of Interval Data
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BMCBI
2005
122views more  BMCBI 2005»
14 years 11 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
CVPR
2012
IEEE
13 years 2 months ago
Globally optimal line clustering and vanishing point estimation in Manhattan world
The projections of world parallel lines in an image intersect at a single point called the vanishing point (VP). VPs are a key ingredient for various vision tasks including rotati...
Jean Charles Bazin, Yongduek Seo, Cédric De...
ICDM
2009
IEEE
146views Data Mining» more  ICDM 2009»
15 years 6 months ago
Induction of Mean Output Prediction Trees from Continuous Temporal Meteorological Data
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
Dima Alberg, Mark Last, Roni Neuman, Avi Sharon
BMCBI
2008
84views more  BMCBI 2008»
14 years 12 months ago
The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
Background: This paper discusses the problem of automated annotation. It is a continuation of the previous work on the A4-algorithm (Adaptive algorithm of automated annotation) de...
Andrey M. Leontovich, Konstantin Y. Tokmachev, Han...
CSDA
2006
96views more  CSDA 2006»
14 years 11 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...