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Filters: Author is Dietterich, Thomas G.  [Clear All Filters]
Dietterich, T. G., "Machine Learning", The Encyclopedia of Computer Science, Fourth Edition: Thomson Computer Press, pp. 1056-1059, 2000.
Fountain, T., T. G. Dietterich, and B. Sudyka, "Mining IC Test Data to Optimize VLSI Testing", In Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Boston, MA, ACM Press, pp. 18–25, 08/2000.
Winner of Award for Best Application Paper (Research Track)
Dietterich, T. G., "An Overview of MAXQ Hierarchical Reinforcement Learning", Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation, London, UK, Springer-Verlag, pp. 26–44, 07/2000.
Zubek, V B., and T. G. Dietterich, "A POMDP Approximation Algorithm that Anticipates the Need to Observe", In Springer-Verlag (Ed.), Proceedings of the Paci Rim Conference on Arti Intelligence (PRICAI); Lecture Notes in Computer Science, Melbourne, Australia, Springer-Verlag, pp. 521–532, 08/2000.
Dietterich, T. G., "State Abstraction in MAXQ Hierarchical Reinforcement Learning", Advances in Neural Information Processing Systems, 12: MIT Press, pp. 994-1000, 2000.
Dietterich, T. G., "Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms", Neural Computation, vol. 10, issue 7, pp. 1895 - 1923, 10/1998.
Dietterich, T. G., R. H. Lathrop, and T. Lozano-Pérez, "Solving the multiple instance problem with axis-parallel rectangles", Artificial Intelligence, vol. 89, issue 1-2, pp. 31 - 71, 01/1997.