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» A Bayesian Approach to Semi-Supervised Learning
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DATAMINE
2010
122views more  DATAMINE 2010»
13 years 8 months ago
Three naive Bayes approaches for discrimination-free classification
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
Toon Calders, Sicco Verwer
HICSS
2005
IEEE
175views Biometrics» more  HICSS 2005»
14 years 2 months ago
Causal Reasoning Engine: An Explanation-Based Approach to Syndromic Surveillance
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the popu...
Benjamin B. Perry, Tim Van Allen
ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 8 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
PR
2010
129views more  PR 2010»
13 years 7 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
UAI
2001
13 years 10 months ago
Markov Chain Monte Carlo using Tree-Based Priors on Model Structure
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
Nicos Angelopoulos, James Cussens