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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 4 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
139
Voted
PR
2006
111views more  PR 2006»
15 years 3 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
122
Voted
AAAI
2006
15 years 5 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
CIKM
2001
Springer
15 years 8 months ago
Improved String Matching Under Noisy Channel Conditions
Many document-based applications, including popular Web browsers, email viewers, and word processors, have a ‘Find on this Page’ feature that allows a user to find every occur...
Kevyn Collins-Thompson, Charles Schweizer, Susan T...
133
Voted
BMCBI
2005
134views more  BMCBI 2005»
15 years 3 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,...