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» The Localization Hypothesis and Machines
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ICML
1999
IEEE
16 years 7 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
SOSP
2005
ACM
16 years 3 months ago
BAR fault tolerance for cooperative services
This paper describes a general approach to constructing cooperative services that span multiple administrative domains. In such environments, protocols must tolerate both Byzantin...
Amitanand S. Aiyer, Lorenzo Alvisi, Allen Clement,...
CGO
2010
IEEE
16 years 1 months ago
Automatic creation of tile size selection models
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...
Tomofumi Yuki, Lakshminarayanan Renganarayanan, Sa...
SC
2009
ACM
16 years 29 days ago
Robust workflows for science and engineering
Scientific workflow tools allow users to specify complex computational experiments and provide a good framework for robust science and engineering. Workflows consist of pipelines ...
David Abramson, Blair Bethwaite, Colin Enticott, S...
ACNS
2009
Springer
157views Cryptology» more  ACNS 2009»
16 years 23 days ago
Malyzer: Defeating Anti-detection for Application-Level Malware Analysis
Abstract. Malware analysis is critical for malware detection and prevention. To defeat malware analysis and detection, today malware commonly adopts various sophisticated anti-dete...
Lei Liu, Songqing Chen