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» Kernel Methods for Pattern Analysis
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RECOMB
2005
Springer
14 years 11 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
IWPSE
2007
IEEE
14 years 5 months ago
Using concept analysis to detect co-change patterns
Software systems need to change over time to cope with new requirements, and due to design decisions, the changes happen to crosscut the system’s structure. Understanding how ch...
Tudor Gîrba, Stéphane Ducasse, Adrian...
RECOMB
2007
Springer
14 years 11 months ago
Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs
Determining the precise spatial extent of expression of genes across different tissues, along with knowledge of the biochemical function of the genes is critical for understanding ...
Cyrus L. Harmon, Parvez Ahammad, Ann Hammonds, Ric...
CIKM
2006
Springer
14 years 2 months ago
Resource-aware kernel density estimators over streaming data
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Christoph Heinz, Bernhard Seeger
ICASSP
2011
IEEE
13 years 2 months ago
Explicit recursivity into reproducing kernel Hilbert spaces
This paper presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces (RKHS). Unlike previous approaches that exploit the kernel trick on filtered ...
Devis Tuia, Gustavo Camps-Valls, Manel Martí...