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» Optimizing the distribution of large data sets in theory and...
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PR
2006
83views more  PR 2006»
13 years 9 months ago
Optimal convex error estimators for classification
A cross-validation error estimator is obtained by repeatedly leaving out some data points, deriving classifiers on the remaining points, computing errors for these classifiers on ...
Chao Sima, Edward R. Dougherty
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 9 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
OSDI
2002
ACM
14 years 9 months ago
Optimizing the Migration of Virtual Computers
This paper shows how to quickly move the state of a running computer across a network, including the state in its disks, memory, CPU registers, and I/O devices. We call this state...
Constantine P. Sapuntzakis, Ramesh Chandra, Ben Pf...
SIGMOD
2003
ACM
125views Database» more  SIGMOD 2003»
14 years 9 months ago
An Optimal and Progressive Algorithm for Skyline Queries
The skyline of a set of d-dimensional points contains the points that are not dominated by any other point on all dimensions. Skyline computation has recently received considerabl...
Dimitris Papadias, Yufei Tao, Greg Fu, Bernhard Se...
IPSN
2007
Springer
14 years 3 months ago
Sparse data aggregation in sensor networks
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...