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» Generalization Error Bounds Using Unlabeled Data
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84
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ICML
2008
IEEE
16 years 1 months ago
Stopping conditions for exact computation of leave-one-out error in support vector machines
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
Klaus-Robert Müller, Pavel Laskov, Vojtech Fr...
108
Voted
VLDB
2007
ACM
115views Database» more  VLDB 2007»
15 years 6 months ago
The Boundary Between Privacy and Utility in Data Publishing
We consider the privacy problem in data publishing: given a database instance containing sensitive information “anonymize” it to obtain a view such that, on one hand attackers...
Vibhor Rastogi, Sungho Hong, Dan Suciu
103
Voted
COLT
2008
Springer
15 years 2 months ago
Learning in the Limit with Adversarial Disturbances
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Constantine Caramanis, Shie Mannor
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 3 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
ICML
2003
IEEE
16 years 1 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth