An Extended Approach to Learning Recursive Probability Trees from Data-Reference-Cited by-同舟云学术

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An Extended Approach to Learning Recursive Probability Trees from Data

Published:2015-01-05 Issue:3 Volume:30 Page:355-383
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Cano Andrés¹,Gómez-Olmedo Manuel¹,Pérez-Ariza Cora B.¹

Affiliation:

1. Department of Computer Science and Artificial Intelligence; CITIC-UGR, University of Granada; Spain

Funder

Consejería Economía, Innovación, Ciencia y Empleo, Junta de Andalucia

Ministério da Educação e Ciência

European Regional Development Fund

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.21703/fullpdf

Reference15 articles.

1. Inference in Bayesian networks with recursive probability trees: data structure definition and operations;Cano;Int J Intell Syst,2013

2. Importance sampling in Bayesian networks using probability trees;Salmerón;Comput Statist Data Anal,2000

3. Learning recursive probability trees from data. In: Advances in artificial intelligence (CAEPIA 2013);Cano;Lect Notes Comput Sci,2013

4. Learning recursive probability trees from probabilistic potentials;Cano;Int J Approx Reason,2012

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