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125
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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 2 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
93
Voted
ISMB
1993
15 years 1 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
84
Voted
AHS
2007
IEEE
219views Hardware» more  AHS 2007»
15 years 6 months ago
A learning machine for resource-limited adaptive hardware
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
86
Voted
EMNLP
2007
15 years 1 months ago
An Empirical Study on Computing Consensus Translations from Multiple Machine Translation Systems
This paper presents an empirical study on how different selections of input translation systems affect translation quality in system combination. We give empirical evidence that t...
Wolfgang Macherey, Franz Josef Och
ISMIR
2004
Springer
150views Music» more  ISMIR 2004»
15 years 5 months ago
Estimating The Tonality Of Polyphonic Audio Files: Cognitive Versus Machine Learning Modelling Strategies
In this paper we evaluate two methods for key estimation from polyphonic audio recordings. Our goal is to compare between a strategy using a cognition-inspired model and several m...
Emilia Gómez, Perfecto Herrera