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BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
CIKM
2006
Springer
13 years 9 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu
APLAS
2006
ACM
14 years 1 months ago
Automatic Testing of Higher Order Functions
This paper tackles a problem often overlooked in functional programming community: that of testing. Fully automatic test tools like Quickcheck and G∀ST can test first order func...
Pieter W. M. Koopman, Rinus Plasmeijer
BIODATAMINING
2008
120views more  BIODATAMINING 2008»
13 years 7 months ago
Filling the gap between biology and computer science
This editorial introduces BioData Mining, a new journal which publishes research articles related to advances in computational methods and techniques for the extraction of useful ...
Jesús S. Aguilar-Ruiz, Jason H. Moore, Mary...
AAAI
2008
13 years 10 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong