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FLAIRS
2003
13 years 10 months ago
Optimizing F-Measure with Support Vector Machines
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
David R. Musicant, Vipin Kumar, Aysel Ozgur
DAM
2008
83views more  DAM 2008»
13 years 9 months ago
Multi-group support vector machines with measurement costs: A biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
PR
1998
92views more  PR 1998»
13 years 8 months ago
Assessing agreement between human and machine clusterings of image databases
There is currently much interest in the organization and content-based querying image databases. The usual hypothesis is that image similarity can be characterized evel features, ...
David McG. Squire, Thierry Pun
JETAI
2010
56views more  JETAI 2010»
13 years 7 months ago
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
Chris Drummond, Nathalie Japkowicz
CTRSA
2010
Springer
200views Cryptology» more  CTRSA 2010»
14 years 4 months ago
Resettable Public-Key Encryption: How to Encrypt on a Virtual Machine
Typical security models used for proving security of deployed cryptographic primitives do not allow adversaries to rewind or reset honest parties to an earlier state. Thus, it is c...
Scott Yilek