purl.org/peter.turney

Turney - Machine Learning

  1. Turney, P.D. (2000), Types of cost in inductive concept learning, Workshop on Cost-Sensitive Learning at the Seventeenth International Conference on Machine Learning (WCSL at ICML-2000), Stanford University, California. (NRC #43671)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  2. Turney, P.D. (1996), The management of context-sensitive features: A review of strategies, 13th International Conference on Machine Learning (ICML96), Workshop on Learning in Context-Sensitive Domains, Bari, Italy, July, pp. 60-66. (NRC #39221)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  3. Turney, P.D. (1996), The identification of context-sensitive features: A formal definition of context for concept learning, 13th International Conference on Machine Learning (ICML96), Workshop on Learning in Context-Sensitive Domains, Bari, Italy, July, pp. 53-59. (NRC #39222)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  4. Turney, P.D. (1996), How to shift bias: Lessons from the Baldwin effect, Evolutionary Computation, 4 (3), 271-295. (NRC #40180)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  5. Turney, P.D., Whitley, D., and Anderson, R.W. (1996), Evolution, learning, and instinct: 100 years of the Baldwin effect, Evolutionary Computation, 4 (3), iv-viii.

    [HTML]

  6. Turney, P.D. (1996), Myths and legends of the Baldwin effect, 13th International Conference on Machine Learning (ICML96), Workshop on Evolutionary Computation and Machine Learning, Bari, Italy, July, pp. 135-142. (NRC #39220)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  7. Turney, P.D. (1995), Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm, Journal of Artificial Intelligence Research, 2, March, 369-409. (NRC #38369)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  8. Turney, P.D. (1995), Low size-complexity inductive logic programming: The East-West Challenge considered as a problem in cost-sensitive classification, Proceedings of the Fifth International Inductive Logic Programming Workshop (ILP95), Leuven, Belgium, September, pp. 247-263. (NRC #39164)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  9. Turney, P.D. (1995), Data engineering for the analysis of semiconductor manufacturing data, Proceedings of the IJCAI-95 Workshop on Data Engineering for Inductive Learning, Montreal, Quebec, August, pp. 50-59. (NRC #39163)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  10. Turney, P.D. (1995), Technical note: Bias and the quantification of stability, Machine Learning, 20, October, 23-33. (NRC #38313)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  11. Turney, P.D. (1994), A theory of cross-validation error, Journal of Experimental and Theoretical Artificial Intelligence, 6, November, 361-391. (NRC #35072)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  12. Turney, P.D. (1994), Theoretical analyses of cross-validation error and voting in instance-based learning, Journal of Experimental and Theoretical Artificial Intelligence, 6, November, pp. 331-360. (NRC #35073)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  13. Turney, P.D. (1993), Robust classification with context-sensitive features, Proceedings of the Sixth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Edinburgh, Scotland, June, pp. 268-276. (NRC #35074)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  14. Turney, P.D. (1993), Exploiting context when learning to classify, Proceedings of the European Conference on Machine Learning, Vienna, Austria, April, pp. 402-407. (NRC #35058)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

  15. Turney, P.D. and Halasz, M. (1993), Contextual normalization applied to aircraft gas turbine engine diagnosis, Journal of Applied Intelligence, 3, July, pp. 109-129. (NRC #35028)

    [arXiv Abstract] [arXiv PDF] [Cogprints Abstract] [Cogprints PDF]

Updated: February 3, 2007.