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NIPS
2008
15 years 6 months ago
Privacy-preserving logistic regression
This paper addresses the important tradeoff between privacy and learnability, when designing algorithms for learning from private databases. We focus on privacy-preserving logisti...
Kamalika Chaudhuri, Claire Monteleoni
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 6 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
GRAPHICSINTERFACE
2001
15 years 6 months ago
Aiding Manipulation of Handwritten Mathematical Expressions through Style-Preserving Morphs
We describe a technique for enhancing a user's ability to manipulate hand-printed symbolic information by automatically improving legibility and simultaneously providing imme...
Richard Zanibbi, Kevin Novins, James Arvo, Katheri...
UAI
2003
15 years 6 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
133
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ESANN
2000
15 years 6 months ago
The K.U.Leuven competition data: a challenge for advanced neural network techniques
In this paper we shortly discuss the K.U. Leuven time-series prediction competition, which has been held in the framework of the International Workshop on Advanced Black-Box Techni...
Johan A. K. Suykens, Joos Vandewalle