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ICASSP
2011
IEEE
14 years 10 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee
BMCBI
2008
226views more  BMCBI 2008»
15 years 6 months ago
ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
Background: New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellu...
Tianxiao Huan, Andrey Y. Sivachenko, Scott H. Harr...
ICDM
2005
IEEE
161views Data Mining» more  ICDM 2005»
16 years 4 days ago
Making Logistic Regression a Core Data Mining Tool with TR-IRLS
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
Paul Komarek, Andrew W. Moore
ERCIMDL
2010
Springer
132views Education» more  ERCIMDL 2010»
15 years 6 months ago
A Visual Digital Library Approach for Time-Oriented Scientific Primary Data
Abstract. Digital Library support for textual and certain types of nontextual documents has significantly advanced over the last years. While Digital Library support implies many a...
Jürgen Bernard, Jan Brase, Dieter W. Fellner,...
BMCBI
2007
133views more  BMCBI 2007»
15 years 6 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...