UBC The Laboratory for Computational Intelligence
Home | About | People | Research Projects | Publications | Events & Seminars | Reading Groups

1993 Papers

  • A. Csinger and D. Poole, Hypothetically Speaking: Default Reasoning and Discourse Structure. Proc. Thirteenth International Joint Conference on Artificial Intelligence, pages 1179-1184, France, August 1993.
  • James J. Little and Johnny Kam, A Smart Buffer for Tracking Using Motion Data (Computer Architectures for Machine Perception 93) pdf
  • David G. Lowe, Improved generalization through learning a similarity metric and kernel size. International Joint Conference on Neural Networks, pp. 501-505. Nagoya, Japan October 1993.
  • David G. Lowe, Fitting parameterized three-dimensional models to images. in Selected Papers on Model-Based Vision, ed. H. Nasr (SPIE Milestone Series3), pp. 188--197. 1993.
  • Alan K. Mackworth, Dynamite: A Testbed for Multiple Mobile Robots. IJCAI-93 Workshop, 1993. pdf
  • Alan K. Mackworth and Eugene C. Freuder, The Complexity of Constraint Satisfaction Revisited. AIJ-93, 1993. pdf
  • D. Poole, Probabilistic Horn abduction and Bayesian networks. Artificial Intelligence, 64(1), 81-129,1993. pdf
  • D. Poole, Logic Programming, Abduction and Probability: a top-down anytime algorithm for estimating prior and posterior probabilities. New Generation Computing11(3-4), 377-400, 1993. pdf
  • D. Poole, Probabilistic Conflicts. Fourth International Workshop on the Principles of Diagnosis, pp. 178-186, Aberystwyth, Wales, September1993.
  • D. Poole, Average-case analysis of a search algorithm for estimating prior and posterior probabilities in Bayesian networks with extreme probabilities. Proc. Thirteenth International Joint Conference on Artificial Intelligence, pages 606-612, France, August 1993. pdf
  • D. Poole, The Use of Conflicts in Searching Bayesian Networks. Proceedings of the Ninth Conference on Uncertainty in AI, Washington D.C., pages 359-367, July 1993. pdf
  • Arthur R. Pope and David G. Lowe, Learning 3D object recognition models from 2D images. AAAI Fall Symposium: Machine Learning in Computer Vision, pp. 35-39. Raleigh, North Carolina, October 1993.
  • Arthur R. Pope and David G. Lowe, Learning object recognition models from images. International Conference on Computer Vision, pp. 296-301, Berlin, Germany, May 1993.
  • R. S. Rosenberg, Free Speech, Pornography, Sexual Harassment, and Electronic Networks. The Information Society, 9(4) pp. 285-331, December 1993.
  • L. Zhang, R. Qi and D. Poole, Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams. Proceedings of the Ninth Conference on Uncertainty in AI, Washington D.C., pages 400-407, July1993.
  • L. Zhang, R. Qi and D. Poole, Minimizing Decision Table Sizes in Stepwise-decomposable Influence Diagrams'. Proc. Fourth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, Florida, pages 423-432, January 1993.
  • Y. Xiang, D. Poole and M. P. Beddoes, Multiply sectioned Bayesian networks and junction forests for large knowledge-based systems. Computational Intelligence, 9(2), 171-220, May 1993.
  • Y. Xiang, B. Pant, A. Eisen, M. P. Beddoes and D. Poole, Multiply Sectioned Bayesian Networks for Neuromuscular Diagnosis. Artificial Intelligence in Medicine, 5(4) 293-314,1993.
  • Ying Zhang and Alan K. Mackworth , Parallel and Distributed Finite Constraint Satisfaction: Complexity, Algorithms and Experiments. Parallel Processing for Artificial Intelligence, Elsevier/North Holland, 1993. pdf
  • Ying Zhang and Alan K. Mackworth, Constraint Programming in Constraint Nets. In First Workshop on Principles and Practice of Constraint Programming, pages 303--312, 1993. (also in Principles and Practice of Constraint Programming, MIT Press, 1995, p.49--68) pdf