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ICML
2005
IEEE
14 years 8 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
WWW
2009
ACM
14 years 8 months ago
Data quality in web archiving
Web archives preserve the history of Web sites and have high long-term value for media and business analysts. Such archives are maintained by periodically re-crawling entire Web s...
Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerh...
STOC
2009
ACM
167views Algorithms» more  STOC 2009»
14 years 8 months ago
Universally utility-maximizing privacy mechanisms
A mechanism for releasing information about a statistical database with sensitive data must resolve a trade-off between utility and privacy. Publishing fully accurate information ...
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan
PODC
2009
ACM
14 years 8 months ago
Tight bounds for clock synchronization
d Abstract] Christoph Lenzen Computer Engineering and Networks Laboratory (TIK) ETH Zurich, 8092 Zurich, Switzerland lenzen@tik.ee.ethz.ch Thomas Locher Computer Engineering and N...
Christoph Lenzen, Thomas Locher, Roger Wattenhofer
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
14 years 8 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel