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CJ
2004
90views more  CJ 2004»
13 years 4 months ago
Extended k-Nearest Neighbours based on Evidence Theory
An evidence theoretic classification method is proposed in this paper. In order to classify a pattern we consider its neighbours, which are taken as parts of a single source of ev...
Hui Wang, David A. Bell
WWW
2009
ACM
14 years 5 months ago
Web-scale classification with naive bayes
Traditional Naive Bayes Classifier performs miserably on web-scale taxonomies. In this paper, we investigate the reasons behind such bad performance. We discover that the low perf...
Congle Zhang, Gui-Rong Xue, Yong Yu, Hongyuan Zha
MCS
2004
Springer
13 years 10 months ago
Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule
Despite the good results provided by Dynamic Classifier Selection (DCS) mechanisms based on local accuracy in a large number of applications, the performances are still capable of ...
Luca Didaci, Giorgio Giacinto
DATAMINE
2010
122views more  DATAMINE 2010»
13 years 5 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
CIMCA
2005
IEEE
13 years 10 months ago
Independent Nearest Features Memory-Based Classifier
The classification task is one of the most important problems in the area of data mining. In this paper we propose a new algorithm for addressing this problem. The main idea deriv...
Christos Pateritsas, Andreas Stafylopatis