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» Bayesian instance selection for the nearest neighbor rule
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ICPR
2008
IEEE
15 years 4 months ago
Spam filtering with several novel bayesian classifiers
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
Chuanliang Chen, Yingjie Tian, Chunhua Zhang
ICML
2001
IEEE
15 years 10 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
ICDE
2009
IEEE
180views Database» more  ICDE 2009»
15 years 11 months ago
Reverse Furthest Neighbors in Spatial Databases
Given a set of points P and a query point q, the reverse furthest neighbor (RFN) query fetches the set of points p P such that q is their furthest neighbor among all points in P {...
Bin Yao, Feifei Li, Piyush Kumar
ICPR
2002
IEEE
15 years 11 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
ICPR
2010
IEEE
14 years 7 months ago
Boosting Bayesian MAP Classification
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
Paolo Piro, Richard Nock, Frank Nielsen, Michel Ba...