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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
ICSE
2008
IEEE-ACM
16 years 7 months ago
Scalable detection of semantic clones
Several techniques have been developed for identifying similar code fragments in programs. These similar fragments, referred to as code clones, can be used to identify redundant c...
Mark Gabel, Lingxiao Jiang, Zhendong Su
SIGSOFT
2007
ACM
16 years 7 months ago
Programming asynchronous layers with CLARITY
Asynchronous systems components are hard to write, hard to reason about, and (not coincidentally) hard to mechanically verify. In order to achieve high performance, asynchronous c...
Prakash Chandrasekaran, Christopher L. Conway, Jos...
WWW
2009
ACM
16 years 7 months ago
Collective privacy management in social networks
Social Networking is one of the major technological phenomena of the Web 2.0, with hundreds of millions of people participating. Social networks enable a form of self expression f...
Anna Cinzia Squicciarini, Mohamed Shehab, Federica...
WWW
2008
ACM
16 years 7 months ago
Modeling online reviews with multi-grain topic models
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Ivan Titov, Ryan T. McDonald
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