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ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 5 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
14 years 24 days ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
BICOB
2010
Springer
13 years 5 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
CCR
2005
129views more  CCR 2005»
13 years 7 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
JC
2000
138views more  JC 2000»
13 years 7 months ago
Multivariate Polynomials, Duality, and Structured Matrices
We rst review thebasic properties of the well knownclasses of Toeplitz, Hankel, Vandermonde, and other related structured matrices and reexamine their correlation to operations wi...
Bernard Mourrain, Victor Y. Pan