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» The Indifferent Naive Bayes Classifier
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BMVC
2010
14 years 7 months ago
Robust Texture Recognition Using Credal Classifiers
Texture classification is used for many vision systems; in this paper we focus on improving the reliability of the classification through the so-called imprecise (or credal) class...
Giorgio Corani, Alessandro Giusti, Davide Migliore...
INFFUS
2002
108views more  INFFUS 2002»
14 years 9 months ago
Relationships between combination methods and measures of diversity in combining classifiers
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
Catherine A. Shipp, Ludmila Kuncheva
76
Voted
KDD
2002
ACM
187views Data Mining» more  KDD 2002»
15 years 10 months ago
Transforming classifier scores into accurate multiclass probability estimates
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
Bianca Zadrozny, Charles Elkan
105
Voted
ICML
2004
IEEE
15 years 10 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai