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Marco Valtorta
2010 – today
- 2013
[i3]Mark Bloemeke, Marco Valtorta: A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. CoRR abs/1301.7360 (2013)
[i2]Young-Gyun Kim, Marco Valtorta: On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. CoRR abs/1302.4967 (2013)
[i1]Moninder Singh, Marco Valtorta: An Algorithm for the Construction of Bayesian Network Structures from Data. CoRR abs/1303.1485 (2013)- 2012
[j19]Jingsong Wang, John Byrnes, Marco Valtorta, Michael N. Huhns: On the combination of logical and probabilistic models for information analysis. Appl. Intell. 36(2): 472-497 (2012)
[c20]Jingsong Wang, Marco Valtorta: Using Relative Classification Probability to Increase Accuracy of Restricted Structure Bayesian Network Classifiers. ICTAI 2012: 105-113- 2011
[c19]Jingsong Wang, Marco Valtorta: A Framework for Integration of Logical and Probabilistic Knowledge. AAAI 2011- 2010
[j18]Antonello Monti, Ferdinanda Ponci, Marco Valtorta: Extending Polynomial Chaos to Include Interval Analysis. IEEE T. Instrumentation and Measurement 59(1): 48-55 (2010)
[c18]Scott Langevin, Marco Valtorta, Mark Bloemeke: Agent-encapsulated Bayesian networks and the rumor problem. AAMAS 2010: 1553-1554
2000 – 2009
- 2009
[j17]Valerie Sessions, Marco Valtorta: Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm. J. Data and Information Quality 1(3) (2009)- 2008
[j16]Yimin Huang, Marco Valtorta: On the completeness of an identifiability algorithm for semi-Markovian models. Ann. Math. Artif. Intell. 54(4): 363-408 (2008)
[j15]Marco Valtorta, Yimin Huang: Identifiability in Causal Bayesian Networks: a Gentle Introduction. Cybernetics and Systems 39(4): 425-442 (2008)
[c17]Scott Langevin, Marco Valtorta: Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results. SUM 2008: 284-297- 2006
[c16]Yimin Huang, Marco Valtorta: Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. AAAI 2006: 1149-1154
[c15]Valerie Sessions, Marco Valtorta: The Effects of Data Quality on Machine Learning Algorithms. ICIQ 2006: 485-498
[c14]- 2005
[j14]Subramani Mani, Marco Valtorta, Suzanne McDermott: Building Bayesian Network Models in Medicine: The MENTOR Experience. Appl. Intell. 22(2): 93-108 (2005)
[j13]Vaibhav Gowadia, Csilla Farkas, Marco Valtorta: PAID: A Probabilistic Agent-Based Intrusion Detection system. Computers & Security 24(7): 529-545 (2005)
[c13]John Cheng, Ray Emami, Larry Kerschberg, Eugene Santos Jr., Qunhua Zhao, Hien Nguyen, Hua Wang, Michael N. Huhns, Marco Valtorta, Jiangbo Dang, Hrishikesh J. Goradia, Jingshan Huang, Sharon Xi: OmniSeer: A Cognitive Framework for User Modeling, Reuse of Prior and Tacit Knowledge, and Collaborative Knowledge Services. HICSS 2005- 2004
[j12]Young-Gyun Kim, Marco Valtorta, Jirí Vomlel: A Prototypical System for Soft Evidential Update. Appl. Intell. 21(1): 81-97 (2004)
[j11]Bhaskara Reddy Moole, Marco Valtorta: Sequential And Parallel Algorithms For Causal Explanation With Background Knowledge. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(Supplement-2): 101-122 (2004)- 2003
[c12]Bhaskara Reddy Moole, Marco Valtorta: Causal Explanation with Background Knowledge. IICAI 2003: 843-856- 2002
[j10]Marco Valtorta, Young-Gyun Kim, Jirí Vomlel: Soft evidential update for probabilistic multiagent systems. Int. J. Approx. Reasoning 29(1): 71-106 (2002)- 2001
[j9]Marco Valtorta, Michael N. Huhns: Probability and Agents. IEEE Internet Computing 5(6): 77-79 (2001)- 2000
[c11]Jayanta K. Ghosh, Marco Valtorta: Building a Bayesian network model of heart disease. ACM Southeast Regional Conference 2000: 239-240
1990 – 1999
- 1998
[c10]Mark Bloemeke, Marco Valtorta: A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. UAI 1998: 16-23- 1995
[j8]Moninder Singh, Marco Valtorta: Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. Int. J. Approx. Reasoning 12(2): 111-131 (1995)
[j7]Charles X. F. Ling, Marco Valtorta: Refinement of Uncertain Rule Bases via Reduction. Int. J. Approx. Reasoning 13(2): 95-126 (1995)
[c9]Young-Gyun Kim, Marco Valtorta: On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. UAI 1995: 362-367- 1993
[c8]Moninder Singh, Marco Valtorta: An Algorithm for the Construction of Bayesian Network Structures from Data. UAI 1993: 259-265- 1992
[j6]Othar Hansson, Andrew Mayer, Marco Valtorta: A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. Artif. Intell. 55(1): 129-143 (1992)
[j5]Stephen D. Durham, Jeffery S. Smolka, Marco Valtorta: Statistical consistency with Dempster's rule on diagnostic trees having uncertain performance parameters. Int. J. Approx. Reasoning 6(1): 67-81 (1992)
[j4]Marco Valtorta, Donald W. Loveland: On the complexity of belief network synthesis and refinement. Int. J. Approx. Reasoning 7(3-4): 121-148 (1992)- 1991
[j3]
[j2]Marco Valtorta: Some results on the computational complexity of refining confidence factors. Int. J. Approx. Reasoning 5(2): 123-148 (1991)
[c7]- 1990
[c6]Marco Valtorta: More Results on the Complexity of Knowledge Base Refinement: Belief Networks. ML 1990: 419-426
[c5]Shijie Wang, Marco Valtorta: A Prototype Belief Network-Based Expert Systems Shell. IEA/AIE (Vol. 1) 1990: 509-518
1980 – 1989
- 1989
[c4]- 1988
[c3]- 1984
[j1]Marco Valtorta: A result on the computational complexity of heuristic estimates for the A algorithm. Inf. Sci. 34(1): 47-59 (1984)- 1983
[c2]Donald W. Loveland, Marco Valtorta: Detecting Ambiguity: An Example in Knowledge Evaluation. IJCAI 1983: 182-184
[c1]Marco Valtorta: A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm. IJCAI 1983: 777-779
Coauthor Index
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last updated on 2013-04-16 21:36 CEST by the dblp team



