A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles

Details A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles

2012-04-20

arxiv.org/abs/1204.4521v1

Computer Science

Learning

Scientific paper

This paper introduces a privacy-aware Bayesian approach that combines ensembles of classifiers and clusterers to perform semi-supervised and transductive learning. We consider scenarios where instances and their classification/clustering results are distributed across different data sites and have sharing restrictions. As a special case, the privacy aware computation of the model when instances of the target data are distributed across different data sites, is also discussed. Experimental results show that the proposed approach can provide good classification accuracies while adhering to the data/model sharing constraints.

Affiliated with

Also associated with

No associations

Rating

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-5187