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WWW
2005
ACM
16 years 7 months ago
Web data cleansing for information retrieval using key resource page selection
With the page explosion of WWW, how to cover more useful information with limited storage and computation resources becomes more and more important in web IR research. Using web p...
Yiqun Liu, Canhui Wang, Min Zhang, Shaoping Ma
SSDBM
2003
IEEE
96views Database» more  SSDBM 2003»
15 years 11 months ago
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...
ISMB
1993
15 years 7 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
IJHIS
2008
84views more  IJHIS 2008»
15 years 6 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
CORR
2007
Springer
95views Education» more  CORR 2007»
15 years 6 months ago
Resampling methods for parameter-free and robust feature selection with mutual information
Combining the mutual information criterion with a forward feature selection strategy offers a good trade-off between optimality of the selected feature subset and computation time...
Damien François, Fabrice Rossi, Vincent Wer...