Machine Learning
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.
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.
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.
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.
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.
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.
Turney, P.D. (1995), Bias and the quantification of stability, Machine Learning, 20, October, 23-33.
Turney, P.D. (1994), A theory of cross-validation error, Journal of Experimental and Theoretical Artificial Intelligence, 6, November, 361-391.
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.
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.
Turney, P.D. (1993), Exploiting context when learning to classify, Proceedings of the European Conference on Machine Learning, Vienna, Austria, April, pp. 402-407.
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.
Waterhouse — Consulting the Oracle