Reference107 articles.
1. Acid S, de Campos LM (2001) A hybrid methodology for learning belief networks: BENEDICT. Intl J Approximate Reasoning, 27(3):235-262.
2. Acid S, de Campos LM, Fernandez-Luna JM, Rodriguez S, Maria Rodriguez J, Luis Salcedo J (2004) A comparison of learning algorithms for Bayesian networks: A case study based on data from an emergency medical service. Artif Intell Med, 30(3):215-232.
3. Andreassen S, Suojanen M, Falck B, Olesen K (2001) Improving the diagnostic performance of MUNIN by remodelling of the diseases. Artificial Intelligence in Medicine, pp 167-176.
4. Andreassen S, Woldbye M, Falck B, Andersen SK (1987) MUNIN: A causal probabilistic network for interpretation of electromyographic findings. Proc 10th Intl Joint Conf on Artificial Intelligence, pp 366-372.
5. Antal P, Fannes G, Timmerman D, Moreau Y, De Moor B (2004) Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artif Intell Med, 30(3):257-281.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献