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ADCS
2004
15 years 4 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick
NIPS
2000
15 years 4 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
105
Voted
ISCI
2008
88views more  ISCI 2008»
15 years 3 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
179
Voted
ICML
2000
IEEE
16 years 4 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
IJSNET
2006
92views more  IJSNET 2006»
15 years 3 months ago
TTS: a two-tiered scheduling mechanism for energy conservation in wireless sensor networks
: In this paper, we present a two-tiered scheduling approach for effective energy conservation in wireless sensor networks. The effectiveness of this mechanism relies on dynamicall...
Nurcan Tezcan, Wenye Wang