The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results
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Measuring the efficiency of decision making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1978) · European Journal of Operational Research · doi:10.1016/0377-2217(78)90138-8 · Cited by 29,767
UCI Repository of machine learning databases
Blake, C. L. (1998) · Medical Entomology and Zoology · Cited by 10,582
Pattern Recognition and Neural Networks
Ripley, B. D. (1996) · Cambridge University Press eBooks · doi:10.1017/cbo9780511812651 · Cited by 6,459
Cohen, W. W. (1995) · Machine Learning Proceedings 1995 · doi:10.1016/b978-1-55860-377-6.50023-2 · Cited by 3,787
Measuring the efficiency of decision-making units
Charnes, A., Cooper, W. W., & Rhodes, E. (1979) · European Journal of Operational Research · doi:10.1016/0377-2217(79)90229-7 · Cited by 3,300
Machine Learning, Neural and Statistical Classification
Fulkerson, B. (1995) · Technometrics · doi:10.1080/00401706.1995.10484383 · Cited by 2,209
Knowledge Discovery in Databases
Piateski, G., & Frawley, W. (1991) · The MIT Press eBooks · Cited by 1,749
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Pattern Recognition and Neural Networks
Fulkerson, B. (1997) · Technometrics · doi:10.1080/00401706.1997.10485099 · Cited by 1,371
No Free Lunch Theorems for SearchPreprint
Wolpert, D. H., & Macready, W. G. (1995) · RePEc: Research Papers in Economics · Cited by 927
Cited by
Machine learning: a review of classification and combining techniques
Kotsiantis, S. B., Zaharakis, I. D., & Pintelas, P. E. (2006) · Artificial Intelligence Review · doi:10.1007/s10462-007-9052-3 · Cited by 1,582
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
Thornton, C., Hutter, F., Hoos, H. H., & Leyton-Brown, K. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2487575.2487629 · Cited by 1,359
Cross-disciplinary perspectives on meta-learning for algorithm selection
Smith-Miles, K. A. (2009) · ACM Computing Surveys · doi:10.1145/1456650.1456656 · Cited by 552
Label ranking by learning pairwise preferences
Hüllermeier, E., Fürnkranz, J., Cheng, W., & Brinker, K. (2008) · Artificial Intelligence · doi:10.1016/j.artint.2008.08.002 · Cited by 536
Metalearning: A survey of trends and technologies
Lemke, C., Budka, M., & Gabrys, B. (2015) · Artificial Intelligence Review · doi:10.1007/s10462-013-9406-y · Cited by 365
Metadata
- Authors
- Brazdil, P. B., Soares, C., & da Costa, J. P.
- Venue
- Machine Learning
- Published
- 2003-03
- Volume
- 50
- Issue
- 3
- Pages
- 251-277
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2167467747
- Cited by
- 406
- References
- 35
- FWCI
- 11.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Brazdil, P. B., Soares, C., & da Costa, J. P. (2003). Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results. Machine Learning. https://doi.org/10.1023/a%3A1021713901879
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
