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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
96
Voted
BMCBI
2010
176views more  BMCBI 2010»
14 years 10 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
ECML
1991
Springer
15 years 1 months ago
A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
Gheorghe Tecuci
CSL
2006
Springer
14 years 9 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
ML
2006
ACM
143views Machine Learning» more  ML 2006»
14 years 9 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton