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188
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IJON
2011
158views more  IJON 2011»
15 years 2 months ago
Maximal Discrepancy for Support Vector Machines
Several theoretical methods have been developed in the past years to evaluate the generalization ability of a classifier: they provide extremely useful insights on the learning ph...
Davide Anguita, Alessandro Ghio, Sandro Ridella
183
Voted
DCC
2006
IEEE
16 years 7 months ago
Non-Asymptotic Design of Finite State Universal Predictors for Individual Sequences
In this work we consider the problem of universal prediction of individual sequences where the universal predictor is a deterministic finite state machine, with a fixed, relativel...
Amir Ingber, Meir Feder
226
Voted
EUROCRYPT
2003
Springer
16 years 22 days ago
Fair Secure Two-Party Computation
Abstract Benny Pinkas HP Labs Abstract. We demonstrate a transformation of Yao’s protocol for secure two-party computation to a fair protocol in which neither party gains any sub...
Benny Pinkas
204
Voted
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 11 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
291
Voted
SIGMOD
2007
ACM
197views Database» more  SIGMOD 2007»
16 years 7 months ago
Automated and on-demand provisioning of virtual machines for database applications
Utility computing delivers compute and storage resources to applications as an `on-demand utility', much like electricity, from a distributed collection of computing resource...
Piyush Shivam, Azbayar Demberel, Pradeep Gunda, Da...