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» Game-Theoretic Learning Using the Imprecise Dirichlet Model
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ISIPTA
1999
IEEE
13 years 9 months ago
Implicative Analysis for Multivariate Binary Data using an Imprecise Dirichlet Model
Bayesian implicative analysis was proposed for summarizing the association in a 22 contingency table in terms possibly asymmetrical such as, e.g., presence of feature a implies, i...
Jean-Marc Bernard
IJAR
2010
105views more  IJAR 2010»
13 years 2 months ago
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
In this paper we present TANC, i.e., a tree-augmented naive credal classifier based on imprecise probabilities; it models prior near-ignorance via the Extreme Imprecise Dirichlet ...
G. Corani, C. P. de Campos
ISIPTA
2003
IEEE
126views Mathematics» more  ISIPTA 2003»
13 years 10 months ago
Robust Estimators under the Imprecise Dirichlet Model
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
Marcus Hutter
AMAI
2005
Springer
13 years 4 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
IPMU
2010
Springer
13 years 2 months ago
Restricting the IDM for Classification
Abstract. The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state...
Giorgio Corani, Alessio Benavoli