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JMLR
2010
101views more  JMLR 2010»
13 years 4 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
ESSMAC
2003
Springer
14 years 2 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
DAC
1997
ACM
14 years 1 months ago
ISDL: An Instruction Set Description Language for Retargetability
Abstract—We present the Instruction Set Description Language, ISDL, a machine description language used to describe target architectures to a retargetable compiler. The features ...
George Hadjiyiannis, Silvina Hanono, Srinivas Deva...
DAWAK
2006
Springer
14 years 26 days ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...