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» Boosting Methods for Regression
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NIPS
2008
13 years 11 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
ICSM
1993
IEEE
14 years 1 months ago
Incremental Regression Testing
The purpose of regression testing is to ensure that bug xes and new functionality introduced in a new version of a software do not adversely a ect the correct functionality inheri...
Hiralal Agrawal, Joseph Robert Horgan, Edward W. K...
ICML
2005
IEEE
14 years 10 months ago
Heteroscedastic Gaussian process regression
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
Alexander J. Smola, Quoc V. Le, Stéphane Ca...
UAI
2004
13 years 11 months ago
On-line Prediction with Kernels and the Complexity Approximation Principle
The paper describes an application of Aggregating Algorithm to the problem of regression. It generalizes earlier results concerned with plain linear regression to kernel technique...
Alexander Gammerman, Yuri Kalnishkan, Vladimir Vov...
ICML
2001
IEEE
14 years 10 months ago
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
Sanmay Das