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» Temporal Data Classification Using Linear Classifiers
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DATAMINE
2010
122views more  DATAMINE 2010»
15 years 3 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
115
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ICIP
2008
IEEE
16 years 4 months ago
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Dynamic-Contrast Enhanced MRI (DCE-MRI) is currently used as a complementary diagnosis tool to assess the malignancy of the liver tumor, called hepatoma, hepatocarcinoma, hepatoce...
Liliana Caldeira, Isabela Silva, João Sanch...
ICPR
2006
IEEE
16 years 4 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang
IADIS
2003
15 years 4 months ago
A Multiagent Architecture for Information Retrieval in Distributed and Heterogeneous Data Sources
With the consolidation of the Internet and other computer networks, the need of sophisticated systems to retrieve information increased enormously. In these networks, information ...
Rafael T. de Sousa Jr., Alexandre C. V. de Oliveir...
PAMI
2006
147views more  PAMI 2006»
15 years 3 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani