منابع مشابه
Geometric BIC
The author introduced the “geometric AIC” and the “geometric MDL” as model selection criteria for geometric fitting problems. These correspond to Akaike’s “AIC” and Rissanen’s “BIC”, respectively, well known in the statistical estimation framework. Another criterion well known is Schwarz’ “BIC”, but its counterpart for geometric fitting has been unknown. This paper introduces the corresponding ...
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Model selection is commonly based on some variation of the BIC or minimum message length criteria, such as MML and MDL. In either case the criterion is split into two terms: one for the model (data code length/model complexity) and one for the data given the model (message length/data likelihood). For problems such as change detection, unsupervised segmentation or data clustering it is common p...
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Model selection is commonly based on some variation of the BIC or minimum message length criteria, such as MML and MDL. In either case the criterion is split into two terms: one for the model (data code length/model complexity) and one for the data given the model (message length/data likelihood). For problems such as change detection, unsupervised segmentation or data clustering it is common p...
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Résumé. Nous reconsidérons dans cet article le critère BIC pour arbres d’induction proposé dans Ritschard et Zighed (2003, 2004) et discutons deux aspects liés à sa portée. Le premier concerne les possibilités de le calculer. Nous montrons comment il s’obtient à partir des statistiques du rapport vraisemblance utilisées pour tester l’indépendance ligne-colonne de tables de contingence. Le secon...
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ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2010
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.e93.d.144