Learning with CASTLE-Reference-Cited by-同舟云学术

Learning with CASTLE

Published:1991 Issue: Volume: Page:97-106
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Acid S.,Campos L. M.,González A.,Molina R.,Pérez de la Blanca N.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-54659-6_73.pdf

Reference11 articles.

1. Acid, S., Campos,L.M.de, González, A., Molina, R. and Pérez de la Blanca, N. (1991) CASTLE: Causal Structures from Inductive Learning. Release 1.0. Technical Report no 91-4-1. Dept of Computer Science and A.I. (DECSAI). University of Granada.

2. Aho, A.V., Hopcroft, J.E. and Ullman, J.E. (1987) Data Structures and Algorithms. Addison-Wesley.

3. Molina, R. and Ripley, B.D. (1989). Using spatial models as priors in image analysis. J. Appl. Statist, 16, 193–206.

4. Pearl, J. (1988) Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan and Kaufmann.

5. Pearl, J. and Verma, T.S. (1990) A Formal Theory of Inductive Causation. Technical Report R-155 Department of Computer Science. University of California.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A new genetic approach for structure learning of Bayesian networks: Matrix genetic algorithm;International Journal of Control, Automation and Systems;2010-04

2. A hybrid methodology for learning belief networks: BENEDICT;International Journal of Approximate Reasoning;2001-09

3. Independence in Uncertainty Theories and Its Applications to Learning Belief Networks;Abductive Reasoning and Learning;2000

4. Independency relationships and learning algorithms for singly connected networks;Journal of Experimental & Theoretical Artificial Intelligence;1998-10

5. Analyse non symétrique de données par l'implication statistique;RAIRO - Operations Research;1996