Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood

Author:

Gámez José A.,Mateo Juan L.,Puerta José M.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference51 articles.

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3. Acid S, de Campos LM (2003) Searching for Bayesian network structures in the space of restricted acyclic partially directed graphs. J Artif Intell Res 18: 445–490

4. Andreassen S, Jensen FV, Andersen SK, Falck B, Kjærulff U, Woldbye M, Sørensen AR, Rosenfalck A, Jensen F (1989) MUNIN—an expert EMG assistant. In: Desmedt JE (eds) Computer-aided electromyography and expert systems, chap 21. Elsevier, Amsterdam

5. Beinlich IA, Suermondt HJ, Chavez RM, Cooper GF (1989) The ALARM monitoring system: a case study with two probabilistic inference techniques for belief networks. In: Second European conference on artificial intelligence in medicine, vol 38. Springer-Verlag, Berlin, pp 247–256

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