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» Feature selection through gravitational search algorithm
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SIGIR
2000
ACM
15 years 1 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
APBC
2004
132views Bioinformatics» more  APBC 2004»
14 years 11 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
EMNLP
2011
13 years 9 months ago
Syntax-Based Grammaticality Improvement using CCG and Guided Search
Machine-produced text often lacks grammaticality and fluency. This paper studies grammaticality improvement using a syntax-based algorithm based on CCG. The goal of the search pr...
Yue Zhang 0004, Stephen Clark
ATAL
2009
Springer
15 years 4 months ago
Producing timely recommendations from social networks through targeted search
There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing pe...
Anil Gürsel, Sandip Sen
ICPR
2008
IEEE
15 years 3 months ago
Computer graphics identification using genetic algorithm
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Wen Chen, Yun Q. Shi, Guorong Xuan, Wei Su