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BMCBI
2006
142views more  BMCBI 2006»
15 years 3 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
136
Voted
TSE
2002
157views more  TSE 2002»
15 years 3 months ago
Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects
A number of papers have investigated the relationships between design metrics and the detection of faults in object-oriented software. Several of these studies have shown that suc...
Lionel C. Briand, Walcélio L. Melo, Jü...
MMAS
2011
Springer
14 years 10 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
179
Voted
JMLR
2010
179views more  JMLR 2010»
14 years 10 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
CVPR
2004
IEEE
16 years 5 months ago
A Model for Dynamic Shape and Its Applications
Variation in object shape is an important visual cue for deformable object recognition and classification. In this paper, we present an approach to model gradual changes in the ?-...
Che-Bin Liu, Narendra Ahuja