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» Optimizing Feature Sets for Structured Data
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JUCS
2008
130views more  JUCS 2008»
14 years 9 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
PVLDB
2010
131views more  PVLDB 2010»
14 years 8 months ago
XSACT: A Comparison Tool for Structured Search Results
Studies show that about 50% of web search is for information exploration purpose, where a user would like to investigate, compare, evaluate, and synthesize multiple relevant resul...
Ziyang Liu, Sivaramakrishnan Natarajan, Peng Sun, ...
CORR
2010
Springer
207views Education» more  CORR 2010»
14 years 10 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
NAR
2008
90views more  NAR 2008»
14 years 9 months ago
Many Microbe Microarrays Database: uniformly normalized Affymetrix compendia with structured experimental metadata
Many Microbe Microarrays Database (M3D ) is designed to facilitate the analysis and visualization of expression data in compendia compiled from multiple laboratories. M3D contains...
Jeremiah J. Faith, Michael E. Driscoll, Vincent A....
PRL
1998
132views more  PRL 1998»
14 years 9 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal