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» A Clustering Approach for Achieving Data Privacy
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JMLR
2010
179views more  JMLR 2010»
13 years 2 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
IJCAI
2003
13 years 8 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
WWW
2010
ACM
14 years 2 months ago
CETR: content extraction via tag ratios
We present Content Extraction via Tag Ratios (CETR) – a method to extract content text from diverse webpages by using the HTML document’s tag ratios. We describe how to comput...
Tim Weninger, William H. Hsu, Jiawei Han
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 7 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...
CLUSTER
2007
IEEE
14 years 1 months ago
Non-collective parallel I/O for global address space programming models
— Achieving high performance for out-of-core applications typically involves explicit management of the movement of data between the disk and the physical memory. We are developi...
Sriram Krishnamoorthy, Juan Piernas, Vinod Tippara...