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» An Efficient Reduction of Ranking to Classification
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KDD
2006
ACM
115views Data Mining» more  KDD 2006»
14 years 6 months ago
Supervised probabilistic principal component analysis
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ICFP
2010
ACM
13 years 6 months ago
Lazy tree splitting
Nested data-parallelism (NDP) is a declarative style for programming irregular parallel applications. NDP languages provide language features favoring the NDP style, efficient com...
Lars Bergstrom, Mike Rainey, John H. Reppy, Adam S...
IOR
2008
91views more  IOR 2008»
13 years 5 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
DATAMINE
2007
135views more  DATAMINE 2007»
13 years 5 months ago
Experiencing SAX: a novel symbolic representation of time series
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
Jessica Lin, Eamonn J. Keogh, Li Wei, Stefano Lona...