From Informational Confidence to Informational Intelligence

Abstract : This paper is a continuation of my previous work on informational confidence. The main idea of this technique is to normalize confidence values from different sources in such a way that they match their informational content determined by their performance in an application domain. This reduces classifier combination to a simple integration of information. The proposed method has shown good results in handwriting recognition and other applications involving classifier combination. In the present paper, I will focus more on the theoretical properties of my approach. I will show that informational confidence has the potential to serve as a theory for learning in general by showing that this approach naturally leads us to the famous Yin/Yang symbol of Chinese philosophy, a classic symbol describing two opposing forces. Furthermore, a closer inspection of the opposing forces and their interplay will reveal a new information-theoretical meaning of the golden ratio, which describes the points where both confidence and counter-confidence merge into one force, with performance matching expectation. Although this is mainly a theoretical paper, I will present some practical results for handwritten Japanese character recognition.
Type de document :
Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
Liste complète des métadonnées

Littérature citée [13 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00105183
Contributeur : Anne Jaigu <>
Soumis le : mardi 10 octobre 2006 - 15:13:25
Dernière modification le : mardi 10 octobre 2006 - 16:58:18
Document(s) archivé(s) le : mardi 6 avril 2010 - 19:12:35

Identifiants

  • HAL Id : inria-00105183, version 1

Collections

Citation

Stefan Jaeger. From Informational Confidence to Informational Intelligence. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00105183〉

Partager

Métriques

Consultations de la notice

150

Téléchargements de fichiers

89