Marco Valtorta
Marco Valtorta
Professor of Computer Science, University of South Carolina
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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
Pearl's calculus of intervention is complete
Y Huang, M Valtorta
arXiv preprint arXiv:1206.6831, 2012
An algorithm for the construction of Bayesian network structures from data
M Singh, M Valtorta
Uncertainty in artificial intelligence, 259-265, 1993
The Effects of Data Quality on Machine Learning Algorithms.
V Sessions, M Valtorta
ICIQ 6, 485-498, 2006
Soft Evidential Update for Probabilistic Multiagent Systems
M Valtorta, YG Kim, J Vomlel
International Journal of Approximate Reasoning 29 (1), 71-106, 2002
Paid: A probabilistic agent-based intrusion detection system
V Gowadia, C Farkas, M Valtorta
Computers & Security 24 (7), 529-545, 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
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
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
A prototypical system for soft evidential update
YG Kim, M Valtorta, J Vomlel
Applied Intelligence 21 (1), 81-97, 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
Building Bayesian network models in medicine: The MENTOR experience
S Mani, M Valtorta, S McDermott
Applied Intelligence 22, 93-108, 2005
On the detection of conflicts in diagnostic Bayesian networks using abstraction
YG Kim, M Valtorta
arXiv preprint arXiv:1302.4967, 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
Building a Bayesian network model of heart disease
JK Ghosh, M Valtorta
Proceedings of the 38th annual on Southeast regional conference, 239-240, 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
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
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
Extending polynomial chaos to include interval analysis
A Monti, F Ponci, M Valtorta
IEEE Transactions on Instrumentation and Measurement 59 (1), 48-55, 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
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Artículos 1–20