The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Comparison of Seven Techniques for Choosing Subsets of Pattern Recognition Properties
Abstract
The only guaranteed technique for choosing the best subset of N properties from a set of M is to try all (MN) possible combinations. This is computationally impractical for sets of even moderate size, so heuristic techniques are required. This paper presents seven techniques for choosing good subsets of properties and compares their performance on a nine-class vectorcardiogram classification problem.
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Cites
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
Cited by
Irrelevant Features and the Subset Selection Problem
John, G. H., Kohavi, R., & Pfleger, K. (1994) · Machine Learning Proceedings 1994 · doi:10.1016/b978-1-55860-335-6.50023-4 · Cited by 2,368
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Murthy, S. K. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009744630224 · Cited by 991
A fuzzy-algorithmic approach to the definition of complex or imprecise concepts
Zadeh, L. A. (1976) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(76)80001-6 · Cited by 668
Vannucchi, A. M., Kantarjian, H. M., Kiladjian, J.-J., Gotlib, J., Cervantes, F., Mesa, R. A., Sarlis, N. J., Peng, W., Sandor, V., Gopalakrishna, P., et al. (2015) · Haematologica · doi:10.3324/haematol.2014.119545 · Cited by 260
Use of Artificial Intelligence in Classification of Mill Scale Defects
Lechwar, S., Rauch, Ł., & Pietrzyk, M. (2015) · steel research international · doi:10.1002/srin.201400016 · Cited by 11
Metadata
- Authors
- Mucciardi, A. N., & Gose, E. E.
- Venue
- IEEE Transactions on Computers
- Published
- 1971-09
- Volume
- C-20
- Issue
- 9
- Pages
- 1023-1031
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W2100775604
- Cited by
- 202
- References
- 1
- FWCI
- 32.54
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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