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» Estimating the Accuracy of Learned Concepts
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BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...
NIPS
2001
14 years 11 months ago
Predictive Representations of State
We show that states of a dynamical system can be usefully represented by multi-step, action-conditional predictions of future observations. State representations that are grounded...
Michael L. Littman, Richard S. Sutton, Satinder P....
PKDD
2007
Springer
120views Data Mining» more  PKDD 2007»
15 years 3 months ago
Privacy Preserving Market Basket Data Analysis
Randomized Response techniques have been empirically investigated in privacy preserving association rule mining. However, previous research on privacy preserving market basket data...
Ling Guo, Songtao Guo, Xintao Wu
84
Voted
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
14 years 11 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens
FOCS
2010
IEEE
14 years 7 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