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A method for knowledge integration
Kybernetika, Tome 34 (1998) no. 1, pp. 41-55 Cet article a éte moissonné depuis la source Czech Digital Mathematics Library

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With the aid of Markov Chain Monte Carlo methods we can sample even from complex multi-dimensional distributions which cannot be exactly calculated. Thus, an application to the problem of knowledge integration (e. g. in expert systems) is straightforward.
With the aid of Markov Chain Monte Carlo methods we can sample even from complex multi-dimensional distributions which cannot be exactly calculated. Thus, an application to the problem of knowledge integration (e. g. in expert systems) is straightforward.
Classification : 60J10, 60J22, 62H99, 65C05, 65C40, 68T30, 68T35
Keywords: Markov chain Monte Carlo; multi-dimensional distribution; Gibbs distribution; sampled data; knowledge integration; expert systems 
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Janžura, Martin; Boček, Pavel. A method for knowledge integration. Kybernetika, Tome 34 (1998) no. 1, pp. 41-55. http://geodesic.mathdoc.fr/item/KYB_1998_34_1_a4/

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