Construction of Bayesian network structures from data: A brief survey and an efficient algorithm M Singh, M Valtorta International journal of approximate reasoning 12 (2), 111-131, 1995 | 282 | 1995 |
Pearl's calculus of intervention is complete Y Huang, M Valtorta arXiv preprint arXiv:1206.6831, 2012 | 269 | 2012 |
An algorithm for the construction of Bayesian network structures from data M Singh, M Valtorta Uncertainty in artificial intelligence, 259-265, 1993 | 153 | 1993 |
The Effects of Data Quality on Machine Learning Algorithms. V Sessions, M Valtorta ICIQ 6, 485-498, 2006 | 135 | 2006 |
Soft Evidential Update for Probabilistic Multiagent Systems M Valtorta, YG Kim, J Vomlel International Journal of Approximate Reasoning 29 (1), 71-106, 2002 | 131 | 2002 |
Paid: A probabilistic agent-based intrusion detection system V Gowadia, C Farkas, M Valtorta Computers & Security 24 (7), 529-545, 2005 | 110 | 2005 |
Identifiability in causal bayesian networks: A sound and complete algorithm Y Huang, M Valtorta National Conference on Artificial Intelligence (AAAI) 21 (2), 1149-1154, 2006 | 98 | 2006 |
A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm M Valtorta International Joint Conference on Artificial Intelligence (IJCAI) 2, 777-779, 1983 | 73 | 1983 |
On the completeness of an identifiability algorithm for semi-Markovian models Y Huang, M Valtorta Annals of Mathematics and Artificial Intelligence 54, 363-408, 2008 | 41 | 2008 |
A prototypical system for soft evidential update YG Kim, M Valtorta, J Vomlel Applied Intelligence 21 (1), 81-97, 2004 | 41 | 2004 |
MENTOR: a bayesian model for prediction of mental retardation in newborns S Mani, S McDermott, M Valtorta Research in Developmental Disabilities 18 (5), 303-318, 1997 | 41 | 1997 |
Building Bayesian network models in medicine: The MENTOR experience S Mani, M Valtorta, S McDermott Applied Intelligence 22, 93-108, 2005 | 34 | 2005 |
On the detection of conflicts in diagnostic Bayesian networks using abstraction YG Kim, M Valtorta arXiv preprint arXiv:1302.4967, 2013 | 30 | 2013 |
Towards a method for data accuracy assessment utilizing a bayesian network learning algorithm V Sessions, M Valtorta Journal of Data and Information Quality (JDIQ) 1 (3), 1-34, 2009 | 30 | 2009 |
Building a Bayesian network model of heart disease JK Ghosh, M Valtorta Proceedings of the 38th annual on Southeast regional conference, 239-240, 2000 | 27 | 2000 |
The graduate course advisor: a multi-phase rule-based expert system MG Valtorta, BT Smith, DW Loveland Duke University, Department of Computer Science, 1984 | 27 | 1984 |
A lightweight tool for automatically extracting causal relationships from text SV Cole, MD Royal, MG Valtorta, MN Huhns, JB Bowles Proceedings of the IEEE SoutheastCon 2006, 125-129, 2006 | 26 | 2006 |
Extending Heuer’s analysis of competing hypotheses method to support complex decision analysis M Valtorta, J Dang, H Goradia, J Huang, M Huhns Proceedings of the International Conference on Intelligence Analysis, 2005 | 25 | 2005 |
Extending polynomial chaos to include interval analysis A Monti, F Ponci, M Valtorta IEEE Transactions on Instrumentation and Measurement 59 (1), 48-55, 2009 | 24 | 2009 |
A hybrid algorithm to compute marginal and joint beliefs in Bayesian networks and its complexity M Bloemeke, M Valtorta arXiv preprint arXiv:1301.7360, 2013 | 23 | 2013 |