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» Variable selection using neural-network models
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BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
JCB
2006
123views more  JCB 2006»
14 years 9 months ago
Reconstructing Ancestral Haplotypes with a Dictionary Model
We propose a dictionary model for haplotypes. According to the model, a haplotype is constructed by randomly concatenating haplotype segments from a given dictionary of segments. ...
Kristin L. Ayers, Chiara Sabatti, Kenneth Lange
FGR
2006
IEEE
135views Biometrics» more  FGR 2006»
15 years 3 months ago
Adding Holistic Dimensions to a Facial Composite System
Facial composites are typically constructed by witnesses to crime by describing a suspect's face and then selecting facial features from a kit of parts. Unfortunately, when p...
Charlie D. Frowd, Vicki Bruce, Alex H. McIntyre, P...
UIST
1993
ACM
15 years 1 months ago
VB2: An Architecture for Interaction in Synthetic Worlds
This paper describes the VB2 architecture for the construction of three-dimensional interactive applications. The system's state and behavior are uniformly represented as a n...
Enrico Gobbetti, Jean-Francis Balaguer, Daniel Tha...
EOR
2007
165views more  EOR 2007»
14 years 9 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang