Meta-typicalness approach to reliable classification

Frontiers in Artificial Intelligence and Applications

Volumn 141, Issue , 2006, Pages 811-812

  Smirnov, E N ^a   Vanderlooy, S ^a   Sprinkhuizen Kuyper, I G ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION PERFORMANCE;

COMPUTATIONAL METHODS;

EID: 84886060464     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Article

References (8)

1. S. Bay and M. Pazzani, 'Characterizing model errors and differences', in Proceedings of the 17th International Conference on Machine Learning, pp. 196-201, (2000).
2. C. Blake and C. Merz. UCI repository of ML databases, 1998.
3. A.M. Kaptein, Meta-Classifier Approach to Reliable Text Classification, Master's thesis, Maastricht University, The Netherlands, 2005.
4. T.M. Mitchell, Machine learning, McGraw-Hill, New York, NY, 1997.
5. K. Proedru, I. Nouretdinov, V. Vovk, and A. Gammerman, 'Transductive confidence machines for pattern recognition', in Proceedings of the 13th European Conference on Machine Learning, pp. 381-390, (2002).
6. C. Saunders, A. Gammerman, and V. Vovk, 'Transduction with confidence and credibility', in Proceedings of the 16th International Joint Conference on Artificial Intelligence, pp. 722-726, (1999).
7. S. Vanderlooy, I.G. Sprinkhuizen-Kuyper, and E.N. Smirnov, 'Reliable classifiers in ROC space', in Proceedings of the 15th BENELEARN Machine Learning Conference, pp. 27-36, (2006).
8. V. Vovk, A. Gammerman, and G. Shafer, Algorithmic Learning in a Random World, Springer, New York, NY, 2005.