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» Pattern Recognition Using Functions of Multiple Instances
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147
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BMCBI
2005
134views more  BMCBI 2005»
15 years 4 months ago
Systematic feature evaluation for gene name recognition
In task 1A of the BioCreAtIvE evaluation, systems had to be devised that recognize words and phrases forming gene or protein names in natural language sentences. We approach this ...
Jörg Hakenberg, Steffen Bickel, Conrad Plake,...
BMCBI
2007
120views more  BMCBI 2007»
15 years 4 months ago
Quantitative sequence-function relationships in proteins based on gene ontology
Background: The relationship between divergence of amino-acid sequence and divergence of function among homologous proteins is complex. The assumption that homologs share function...
Vineet Sangar, Daniel J. Blankenberg, Naomi Altman...
149
Voted
NECO
1998
151views more  NECO 1998»
15 years 4 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
124
Voted
ACII
2007
Springer
15 years 10 months ago
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
Bogdan Vlasenko, Björn Schuller, Andreas Wend...
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 8 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...