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UAI
2000
13 years 9 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
BMCBI
2007
109views more  BMCBI 2007»
13 years 8 months ago
A cis-regulatory logic simulator
Background: A major goal of computational studies of gene regulation is to accurately predict the expression of genes based on the cis-regulatory content of their promoters. The d...
Robert D. Zeigler, Jason Gertz, Barak A. Cohen
BMCBI
2007
107views more  BMCBI 2007»
13 years 8 months ago
A computational approach for detecting peptidases and their specific inhibitors at the genome level
Background: Peptidases are proteolytic enzymes responsible for fundamental cellular activities in all organisms. Apparently about 2–5% of the genes encode for peptidases, irresp...
Lisa Bartoli, Remo Calabrese, Piero Fariselli, Dam...
JSS
2007
118views more  JSS 2007»
13 years 8 months ago
A new imputation method for small software project data sets
Effort prediction is a very important issue for software project management. Historical project data sets are frequently used to support such prediction. But missing data are oft...
Qinbao Song, Martin J. Shepperd
BMCBI
2004
141views more  BMCBI 2004»
13 years 8 months ago
Estimates of statistical significance for comparison of individual positions in multiple sequence alignments
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
Ruslan Sadreyev, Nick V. Grishin