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84
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BMCBI
2010
105views more  BMCBI 2010»
14 years 10 months ago
Predicting phenotypic traits of prokaryotes from protein domain frequencies
Background: Establishing the relationship between an organism's genome sequence and its phenotype is a fundamental challenge that remains largely unsolved. Accurately predict...
Thomas Lingner, Stefanie Mühlhausen, Toni Gab...
89
Voted
BMCBI
2007
95views more  BMCBI 2007»
14 years 10 months ago
Methods for estimating human endogenous retrovirus activities from EST databases
Background: Human endogenous retroviruses (HERVs) are surviving traces of ancient retrovirus infections and now reside within the human DNA. Recently HERV expression has been dete...
Merja Oja, Jaakko Peltonen, Jonas Blomberg, Samuel...
ISCI
2008
165views more  ISCI 2008»
14 years 10 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
IVC
2006
187views more  IVC 2006»
14 years 10 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
105
Voted
CVPR
2008
IEEE
16 years 6 days ago
Semi-supervised SVM batch mode active learning for image retrieval
Active learning has been shown as a key technique for improving content-based image retrieval (CBIR) performance. Among various methods, support vector machine (SVM) active learni...
Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R....