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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
14 years 1 months ago
Selecting Features by Vertical Compactness of Data
Feature selection is a data preprocessing step for classi cation and data mining tasks. Traditionally, feature selection is done by selecting a minimum number of features that det...
Ke Wang, Suman Sundaresh
DLOG
2001
13 years 10 months ago
Using Lazy Unfolding for the Computation of Least Common Subsumers
For description logics with existential restrictions, the size of the least common subsumer (lcs) of concept descriptions may grow exponentially in the size of the concept descrip...
Anni-Yasmin Turhan, Ralf Molitor
BMCBI
2008
167views more  BMCBI 2008»
13 years 9 months ago
Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
Michael Gormley, Aydin Tozeren
CGF
2008
182views more  CGF 2008»
13 years 9 months ago
Lazy Solid Texture Synthesis
Existing solid texture synthesis algorithms generate a full volume of color content from a set of 2D example images. We introduce a new algorithm with the unique ability to restri...
Yue Dong, Sylvain Lefebvre, Xin Tong, George Drett...
TNN
1998
125views more  TNN 1998»
13 years 8 months ago
Symbolic connectionism in natural language disambiguation
Abstract—Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language an...
Samuel W. K. Chan, James Franklin