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» Efficient Spectral Feature Selection with Minimum Redundancy
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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
14 years 10 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
86
Voted
ICONIP
2004
14 years 11 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
ICML
2003
IEEE
15 years 10 months ago
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
Lei Yu, Huan Liu
ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
15 years 3 months ago
Towards a Fast and Efficient Match Algorithm for Content-Based Music Retrieval on Acoustic Data
In this paper we present a fast and efficient match algorithm, which consists of two key techniques: Spectral Correlation Based Feature Merge(SCBFM) and Two-Step Retrieval(TSR). ...
Yi Yu, Chiemi Watanabe, Kazuki Joe
SPEECH
2011
14 years 4 months ago
Discrimination of speech from nonspeeech in broadcast news based on modulation frequency features
We describe a content based speech discrimination algorithm in broadcast news based on the time-varying information provided by the modulation spectrum. Due to the varying degrees...
Maria E. Markaki, Yannis Stylianou