Diagnosis using a first-order stochastic language that learns-Reference-Cited by-同舟云学术

Diagnosis using a first-order stochastic language that learns

Published:2007-04 Issue:3 Volume:32 Page:832-840
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Chakrabarti Chayan,Rammohan Roshan,Luger George F.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference18 articles.

1. Markov chain Monte Carlo using tree-based priors on model structure;Angelopoulos,2001

2. Angelopoulos, N., & Cussens, J. (2001b). Prolog issues of an MCMC algorithm. In Proceedings of the 14th international conference of applications of prolog INAP2001, Tokyo, Japan, October (pp. 246–253).

3. Chakrabarti, C. (2005). First-order stochastic systems for diagnosis and prognosis. Masters Thesis, Department of Computer Science, University of New Mexico.

4. Parameter estimation in stochastic logic programs;Cussens;Machine Learning,2001

5. Dynamic network models for forecasting;Dagum,1992

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