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Marco Valtorta: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Donald W. Loveland, Marco Valtorta
    Detecting Ambiguity: An Example in Knowledge Evaluation. [Citation Graph (1, 0)][DBLP]
    IJCAI, 1983, pp:182-184 [Conf]
  2. Jayanta K. Ghosh, Marco Valtorta
    Building a Bayesian network model of heart disease. [Citation Graph (0, 0)][DBLP]
    ACM Southeast Regional Conference, 2000, pp:239-240 [Conf]
  3. Yimin Huang, Marco Valtorta
    Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  4. Marco Valtorta
    Automating Rule Strengths in Expert Systems. [Citation Graph (0, 0)][DBLP]
    ECAI, 1988, pp:369-371 [Conf]
  5. 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. [Citation Graph (0, 0)][DBLP]
    HICSS, 2005, pp:- [Conf]
  6. Xiaofeng Ling, Marco Valtorta
    Revision of Reduced Theories. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:519-523 [Conf]
  7. Marco Valtorta
    Some Results on the Complexity of Knowledge-Based Refinement. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:326-331 [Conf]
  8. Marco Valtorta
    More Results on the Complexity of Knowledge Base Refinement: Belief Networks. [Citation Graph (0, 0)][DBLP]
    ML, 1990, pp:419-426 [Conf]
  9. Shijie Wang, Marco Valtorta
    A Prototype Belief Network-Based Expert Systems Shell. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 1), 1990, pp:509-518 [Conf]
  10. Bhaskara Reddy Moole, Marco Valtorta
    Causal Explanation with Background Knowledge. [Citation Graph (0, 0)][DBLP]
    IICAI, 2003, pp:843-856 [Conf]
  11. Marco Valtorta
    A Result on the Computational Complexity of Heuristic Estimates for the A* Algorithm. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1983, pp:777-779 [Conf]
  12. Mark Bloemeke, Marco Valtorta
    A Hybrid Algorithm to Compute Marginal and Joint Beliefs in Bayesian Networks and Its Complexity. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:16-23 [Conf]
  13. Young-Gyun Kim, Marco Valtorta
    On the Detection of Conflicts in Diagnostic Bayesian Networks Using Abstraction. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:362-367 [Conf]
  14. Moninder Singh, Marco Valtorta
    An Algorithm for the Construction of Bayesian Network Structures from Data. [Citation Graph (0, 0)][DBLP]
    UAI, 1993, pp:259-265 [Conf]
  15. Othar Hansson, Andrew Mayer, Marco Valtorta
    A New Result on the Complexity of Heuristic Estimates for the A* Algorithm. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 1992, v:55, n:1, pp:129-143 [Journal]
  16. Subramani Mani, Marco Valtorta, Suzanne McDermott
    Building Bayesian Network Models in Medicine: The MENTOR Experience. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2005, v:22, n:2, pp:93-108 [Journal]
  17. Young-Gyun Kim, Marco Valtorta, Jirí Vomlel
    A Prototypical System for Soft Evidential Update. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2004, v:21, n:1, pp:81-97 [Journal]
  18. Vaibhav Gowadia, Csilla Farkas, Marco Valtorta
    PAID: A Probabilistic Agent-Based Intrusion Detection system. [Citation Graph (0, 0)][DBLP]
    Computers & Security, 2005, v:24, n:7, pp:529-545 [Journal]
  19. Stephen D. Durham, Jeffery S. Smolka, Marco Valtorta
    Statistical consistency with Dempster's rule on diagnostic trees having uncertain performance parameters. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1992, v:6, n:1, pp:67-81 [Journal]
  20. Charles X. F. Ling, Marco Valtorta
    Refinement of Uncertain Rule Bases via Reduction. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1995, v:13, n:2, pp:95-126 [Journal]
  21. Moninder Singh, Marco Valtorta
    Construction of Bayesian network structures from data: A brief survey and an efficient algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1995, v:12, n:2, pp:111-131 [Journal]
  22. Marco Valtorta
    Some results on the computational complexity of refining confidence factors. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1991, v:5, n:2, pp:123-148 [Journal]
  23. Marco Valtorta, Young-Gyun Kim, Jirí Vomlel
    Soft evidential update for probabilistic multiagent systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2002, v:29, n:1, pp:71-106 [Journal]
  24. Marco Valtorta, Donald W. Loveland
    On the complexity of belief network synthesis and refinement. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1992, v:7, n:3-4, pp:121-148 [Journal]
  25. Bhaskara Reddy Moole, Marco Valtorta
    Sequential And Parallel Algorithms For Causal Explanation With Background Knowledge. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, v:12, n:Supplement-2, pp:101-122 [Journal]
  26. Marco Valtorta, Michael N. Huhns
    Probability and Agents. [Citation Graph (0, 0)][DBLP]
    IEEE Internet Computing, 2001, v:5, n:6, pp:77-79 [Journal]
  27. Marco Valtorta
    A result on the computational complexity of heuristic estimates for the A algorithm. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 1984, v:34, n:1, pp:47-59 [Journal]
  28. Yimin Huang, Marco Valtorta
    Pearl's Calculus of Intervention Is Complete. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]

  29. Agent-encapsulated Bayesian networks and the rumor problem. [Citation Graph (, )][DBLP]


  30. The Effects of Data Quality on Machine Learning Algorithms. [Citation Graph (, )][DBLP]


  31. Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results. [Citation Graph (, )][DBLP]


  32. On the completeness of an identifiability algorithm for semi-Markovian models. [Citation Graph (, )][DBLP]


  33. Knowledge base refinement: A bibliography. [Citation Graph (, )][DBLP]


  34. Identifiability in Causal Bayesian Networks: a Gentle Introduction. [Citation Graph (, )][DBLP]


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