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» Selective Attention Improves Learning
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70
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ANLP
2000
109views more  ANLP 2000»
15 years 2 months ago
A Classification Approach to Word Prediction
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
Yair Even-Zohar, Dan Roth
123
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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
16 years 1 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
265
Voted
ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
14 years 17 days ago
Trust-Based Selection of Partners
The community of multi-agent systems has been studying ways to improve the selection of partner agents for joint action. One of such approaches consists in estimating the trustwort...
Joana Urbano, Ana Paula Rocha, Eugénio C. O...
IPMI
2003
Springer
16 years 1 months ago
Feature Selection for Shape-Based Classification of Biological Objects
Abstract. In this paper, feature selection methodology from the machine learning literature is applied to the problem of shape-based classification. This methodology discards stati...
Paul A. Yushkevich, Sarang C. Joshi, Stephen M. Pi...
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
15 years 7 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic