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DATAMINE
2006
166views more  DATAMINE 2006»
13 years 7 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
SIGKDD
2000
237views more  SIGKDD 2000»
13 years 7 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
BMCBI
2007
157views more  BMCBI 2007»
13 years 7 months ago
Improving gene set analysis of microarray data by SAM-GS
Background: Gene-set analysis evaluates the expression of biological pathways, or a priori defined gene sets, rather than that of individual genes, in association with a binary ph...
Irina Dinu, John D. Potter, Thomas Mueller, Qi Liu...
CORR
2007
Springer
94views Education» more  CORR 2007»
13 years 7 months ago
Universal Quantile Estimation with Feedback in the Communication-Constrained Setting
Abstract— We consider the following problem of decentralized statistical inference: given i.i.d. samples from an unknown distribution, estimate an arbitrary quantile subject to l...
Ram Rajagopal, Martin J. Wainwright
COCO
2010
Springer
168views Algorithms» more  COCO 2010»
13 years 8 months ago
A New Sampling Protocol and Applications to Basing Cryptographic Primitives on the Hardness of NP
We investigate the question of what languages can be decided efficiently with the help of a recursive collisionfinding oracle. Such an oracle can be used to break collisionresistan...
Iftach Haitner, Mohammad Mahmoody, David Xiao