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» The Optimality of Naive Bayes
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FSKD
2006
Springer
115views Fuzzy Logic» more  FSKD 2006»
13 years 11 months ago
Improvement of Decision Accuracy Using Discretization of Continuous Attributes
Abstract. The na
Qingxiang Wu, David A. Bell, T. Martin McGinnity, ...
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
13 years 11 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
CBMS
2009
IEEE
14 years 2 months ago
Inferring grant support types from online biomedical articles
The category of institution or organization underwriting the research reported in a scientific article is a required field (Grant Support type) in the bibliographic record of that...
Jongwoo Kim, Daniel X. Le, George R. Thoma
ARTMED
2004
74views more  ARTMED 2004»
13 years 7 months ago
Latent variable discovery in classification models
The naive Bayes model makes the often unrealistic assumption that the feature variables are mutually independent given the class variable. We interpret a violation of this assumpt...
Nevin Lianwen Zhang, Thomas D. Nielsen, Finn Verne...
CVPR
2008
IEEE
14 years 9 months ago
In defense of Nearest-Neighbor based image classification
State-of-the-art image classification methods require an intensive learning/training stage (using SVM, Boosting, etc.) In contrast, non-parametric Nearest-Neighbor (NN) based imag...
Oren Boiman, Eli Shechtman, Michal Irani