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BMCBI
2010
109views more  BMCBI 2010»
11 years 1 months ago
Predicting gene function using hierarchical multi-label decision tree ensembles
Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
Leander Schietgat, Celine Vens, Jan Struyf, Hendri...
ACL
2001
11 years 3 months ago
Using Machine Learning Techniques to Interpret WH-questions
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
Ingrid Zuckerman, Eric Horvitz
IDA
2010
Springer
11 years 3 months ago
Oracle Coached Decision Trees and Lists
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
IPPS
2008
IEEE
11 years 8 months ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
ICML
2004
IEEE
12 years 2 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
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