# A method for knowledge integration

Kybernetika (1998)

- Volume: 34, Issue: 1, page [41]-55
- ISSN: 0023-5954

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topJanžura, Martin, and Boček, Pavel. "A method for knowledge integration." Kybernetika 34.1 (1998): [41]-55. <http://eudml.org/doc/33333>.

@article{Janžura1998,

abstract = {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.},

author = {Janžura, Martin, Boček, Pavel},

journal = {Kybernetika},

keywords = {Markov chain Monte Carlo; multi-dimensional distribution; Gibbs distribution; sampled data; knowledge integration; expert systems; Markov chain Monte Carlo; multi-dimensional distribution; Gibbs distribution; sampled data; knowledge integration; expert systems},

language = {eng},

number = {1},

pages = {[41]-55},

publisher = {Institute of Information Theory and Automation AS CR},

title = {A method for knowledge integration},

url = {http://eudml.org/doc/33333},

volume = {34},

year = {1998},

}

TY - JOUR

AU - Janžura, Martin

AU - Boček, Pavel

TI - A method for knowledge integration

JO - Kybernetika

PY - 1998

PB - Institute of Information Theory and Automation AS CR

VL - 34

IS - 1

SP - [41]

EP - 55

AB - 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.

LA - eng

KW - Markov chain Monte Carlo; multi-dimensional distribution; Gibbs distribution; sampled data; knowledge integration; expert systems; Markov chain Monte Carlo; multi-dimensional distribution; Gibbs distribution; sampled data; knowledge integration; expert systems

UR - http://eudml.org/doc/33333

ER -

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