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» Predicting diverse subsets using structural SVMs
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IJCNN
2008
IEEE
15 years 6 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini
BMCBI
2006
133views more  BMCBI 2006»
14 years 11 months ago
An integrated approach to the prediction of domain-domain interactions
Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
ALMOB
2006
155views more  ALMOB 2006»
14 years 11 months ago
A phylogenetic generalized hidden Markov model for predicting alternatively spliced exons
Background: An important challenge in eukaryotic gene prediction is accurate identification of alternatively spliced exons. Functional transcripts can go undetected in gene expres...
Jonathan E. Allen, Steven L. Salzberg
BMCBI
2006
120views more  BMCBI 2006»
14 years 11 months ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
CVPR
2012
IEEE
13 years 2 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....