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BMCBI
2010
165views more  BMCBI 2010»
15 years 2 months ago
MTar: a computational microRNA target prediction architecture for human transcriptome
Background: MicroRNAs (miRNAs) play an essential task in gene regulatory networks by inhibiting the expression of target mRNAs. As their mRNA targets are genes involved in importa...
Vinod Chandra, Reshmi Girijadevi, Achuthsankar S. ...
ECML
2007
Springer
15 years 5 months ago
On Pairwise Naive Bayes Classifiers
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyk...
EMNLP
2006
15 years 3 months ago
Automatic Construction of Predicate-argument Structure Patterns for Biomedical Information Extraction
This paper presents a method of automatically constructing information extraction patterns on predicate-argument structures (PASs) obtained by full parsing from a smaller training...
Akane Yakushiji, Yusuke Miyao, Tomoko Ohta, Yuka T...
ICML
2007
IEEE
16 years 2 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
ICML
2005
IEEE
16 years 2 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky