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ICML
2004
IEEE
16 years 5 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch
POPL
2003
ACM
16 years 5 months ago
Selective memoization
We present a framework for applying memoization selectively. The framework provides programmer control over equality, space usage, and identification of precise dependences so tha...
Umut A. Acar, Guy E. Blelloch, Robert Harper
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
16 years 1 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
ICPR
2008
IEEE
15 years 11 months ago
On the selection of base prototypes for LAESA and TLAESA classifiers
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...
Selene Hernández-Rodríguez, Jos&eacu...
SRDS
2006
IEEE
15 years 10 months ago
Topology Sensitive Replica Selection
As the disks typically found in personal computers grow larger, protecting data by replicating it on a collection of “peer” systems rather than on dedicated high performance s...
Dmitry Brodsky, Michael J. Feeley, Norman C. Hutch...