purl.org/peter.turney

Turney - Cost-Sensitive 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. (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]

  3. 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]

  4. 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]

  5. 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]

Updated: February 3, 2007.