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APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 1 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
BMCBI
2007
173views more  BMCBI 2007»
14 years 11 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...
CIKM
2000
Springer
15 years 4 months ago
Boosting for Document Routing
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
Raj D. Iyer, David D. Lewis, Robert E. Schapire, Y...
92
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KDD
2004
ACM
146views Data Mining» more  KDD 2004»
16 years 3 days ago
Using Hyperlink Features to Personalize Web Search
Personalized search has gained great popularity to improve search effectiveness in recent years. The objective of personalized search is to provide users with information tailored ...
Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
SIGIR
2012
ACM
13 years 2 months ago
Time-sensitive query auto-completion
Query auto-completion (QAC) is a common feature in modern search engines. High quality QAC candidates enhance search experience by saving users time that otherwise would be spent ...
Milad Shokouhi, Kira Radinsky