Lazy Meta-Learning: Creating Customized Model Ensembles on Demand-Reference-Cited by-同舟云学术

Lazy Meta-Learning: Creating Customized Model Ensembles on Demand

Published:2012 Issue: Volume: Page:1-23
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
Short-container-title:

Author:

Bonissone Piero P.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-30687-7_1

Reference41 articles.

1. Bonissone, P.: The life cycle of a fuzzy knowledge-based classifier. In: Proc. North American Fuzzy Information Processing Society (NAFIPS 2003), Chicago, IL, pp. 488–494 (2003)

2. Patterson, A., Bonissone, P., Pavese, M.: Six Sigma Quality Applied Throughout the Lifecycle of and Automated Decision System. Journal of Quality and Reliability Engineering International 21(3), 275–292 (2005)

3. Bonissone, P., Varma, A., Aggour, K.: An Evolutionary Process for Designing and Maintaining a Fuzzy Instance-based Model (FIM). In: Proc. First Workshop of Genetic Fuzzy Systems (GFS 2005), Granada, Spain (2005)

4. Bonissone, P., Varma, A., Aggour, K., Xue, F.: Design of local fuzzy models using evolutionary algorithms. Computational Statistics and Data Analysis 51, 398–416 (2006)

5. Bonissone, P.: Soft Computing: A Continuously Evolving Concept. Int. J. Computational Intelligence Systems 3(2), 237–248 (2010)

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