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AIR
2004
113views more  AIR 2004»
14 years 9 months ago
Class Noise vs. Attribute Noise: A Quantitative Study
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Xingquan Zhu, Xindong Wu
FOCS
2010
IEEE
14 years 8 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
SAC
2010
ACM
14 years 4 months ago
A new methodology for photometric validation in vehicles visual interactive systems
This work proposes a new methodology for automatically validating the internal lighting system of an automotive, i.e., assessing the visual quality of an instrument cluster (IC) f...
Alexandre W. C. Faria, David Menotti, Daniel S. D....
ACL
2011
14 years 1 months ago
Semi-supervised latent variable models for sentence-level sentiment analysis
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Oscar Täckström, Ryan T. McDonald
CHI
2011
ACM
14 years 1 months ago
Utilizing multimedia capabilities of mobile phones to support teaching in schools in rural panama
Providing good education is one of the major challenges for humanity. In many developing regions in the world improving educational standards is seen as a central building block f...
Elba del Carmen Valderrama Bahamóndez, Chri...