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SIGMOD
2012
ACM
210views Database» more  SIGMOD 2012»
13 years 9 months ago
Interactive regret minimization
We study the notion of regret ratio proposed in [19] to deal with multi-criteria decision making in database systems. The regret minimization query proposed in [19] was shown to h...
Danupon Nanongkai, Ashwin Lall, Atish Das Sarma, K...
SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
13 years 9 months ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
EDBT
2012
ACM
225views Database» more  EDBT 2012»
13 years 9 months ago
Differentially private search log sanitization with optimal output utility
Web search logs contain extremely sensitive data, as evidenced by the recent AOL incident. However, storing and analyzing search logs can be very useful for many purposes (i.e. in...
Yuan Hong, Jaideep Vaidya, Haibing Lu, Mingrui Wu

Book
352views
17 years 4 months ago
Object-Oriented Reengineering Patterns
"The documentation is missing or obsolete, and the original developers have departed. Your team has limited understanding of the system, and unit tests are missing for many, i...
Serge Demeyer, Stéphane Ducasse, Oscar Nierstrasz
CVPR
2008
IEEE
16 years 8 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
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