287 search results - page 5 / 58 » Privacy-preserving logistic regression |
JMLR
2011
13 years 1 months ago
2011
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
ESSLLI
2009
Springer
13 years 4 months ago
2009
Springer
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
ICDM
2007
IEEE
14 years 28 days ago
2007
IEEE
Privacy-preserving data mining (PPDM) techniques aim to construct efficient data mining algorithms while maintaining privacy. Statistical disclosure limitation (SDL) techniques a...
ESANN
2004
13 years 8 months ago
2004
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...