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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 9 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 9 months ago
Reasoning about sets using redescription mining
Redescription mining is a newly introduced data mining problem that seeks to find subsets of data that afford multiple definitions. It can be viewed as a generalization of associa...
Mohammed Javeed Zaki, Naren Ramakrishnan
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
Turning CARTwheels: an alternating algorithm for mining redescriptions
We present an unusual algorithm involving classification trees-CARTwheels--where two trees are grown in opposite directions so that they are joined at their leaves. This approach ...
Naren Ramakrishnan, Deept Kumar, Bud Mishra, Malco...
ICPP
2009
IEEE
14 years 3 months ago
Fine-grain Parallelism Using Multi-core, Cell/BE, and GPU Systems: Accelerating the Phylogenetic Likelihood Function
We are currently faced with the situation where applications have increasing computational demands and there is a wide selection of parallel processor systems. In this paper we fo...
Frederico Pratas, Pedro Trancoso, Alexandros Stama...
CCGRID
2008
IEEE
14 years 3 months ago
Scheduling Asymmetric Parallelism on a PlayStation3 Cluster
Understanding the potential and implications of asymmetric multi-core processors for cluster computing is necessary, as these processors are rapidly becoming mainstream components...
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung ...