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NIPS
2000
15 years 1 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...
SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
15 years 6 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
TCBB
2010
163views more  TCBB 2010»
14 years 6 months ago
Classification of Protein-Protein Interaction Full-Text Documents Using Text and Citation Network Features
Abstract--We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of fulltext documents relevant for protein-protein...
Artemy Kolchinsky, Alaa Abi-Haidar, Jasleen Kaur, ...
DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 1 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...
GFKL
2007
Springer
202views Data Mining» more  GFKL 2007»
15 years 3 months ago
Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data
In this paper, we present an algorithm to identify types of places and objects from 2D and 3D laser range data obtained in indoor environments. Our approach is a combination of a c...
Rudolph Triebel, Óscar Martínez Mozo...