Geometric Decision Rules for Instance-Based Learning Problems

Author:

Bhattacharya Binay,Mukherjee Kaustav,Toussaint Godfried

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Bhattacharya, B., Kaller, D.: Reference set thinning for the k-nearest neighbor decision rule. In: Proceedings of the 14th International Conference on Pattern Recognition, vol. 1 (1998)

2. Bhattacharya, B.K.: Application of computational geometry to pattern recognition problems. Ph.d. thesis, School of Computer Science, McGill University (1982)

3. Brighton, H., Mellish, C.: Advances in instance selection for instance-based learning algorithms. Data Mining and Knowledge Discovery 6, 153–172 (2002)

4. Devroye, L., Györfi, L., Lugosi, G.: A Probabilistic Theory of Pattern Recognition. Springer, Heidelberg (1996)

5. Houle, M.: SASH: A spatial approximation sample hierarchy for similarity search. Tech. Report RT-0517, IBM Tokyo Research Laboratory (2003)

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