Score-based methods for learning Markov boundaries by searching in constrained spaces-Reference-Cited by-同舟云学术

Score-based methods for learning Markov boundaries by searching in constrained spaces

Published:2011-12-06 Issue:1 Volume:26 Page:174-212
ISSN:1384-5810
Container-title:Data Mining and Knowledge Discovery
language:en
Short-container-title:Data Min Knowl Disc

Author:

Acid Silvia,de Campos Luis M.,Fernández Moisés

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s10618-011-0247-5.pdf

Reference75 articles.

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3. Acid S, de Campos LM, Castellano JG (2005) Learning Bayesian network classifiers: searching in a space of partially directed acyclic graphs. Mach Learn 59(3): 213–235

4. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19: 716–723

5. Aliferis CF, Tsamardinos I, Statnikov A (2003) HITON, a novel Markov blanket algorithm for optimal variable selection. In: Proceedings of the 2003 American Medical Informatics Association annual symposium, pp 21–25

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