Fuzzy trees and forests—Review
Author:
Affiliation:
1. Faculty of Computer Science Bialystok University of Technology Białystok Poland
Funder
Politechnika Białostocka
Publisher
Wiley
Subject
General Computer Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1316
Reference62 articles.
1. Pattern Recognition with Fuzzy Objective Function Algorithms
2. c-means clustering with the l/sub l/ and l/sub infinity / norms
3. Bonissone P. P. Cadenas J. M. Garrido M. C. &Diaz‐Valladares R. A.(2008a).Combination methods in a Fuzzy Random Forest. Paper presented at the IEEE International Conference on Systems Man and Cybernetics (SMC 2008) Singapore (pp.1794–1799).
4. Bonissone P. P. Cadenas J. M. Garrido M. C. &Diaz‐Valladares R. A.(2008b).A Fuzzy Random Forest: Fundamental for design and construction. Paper presented at theProceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge‐Based Systems (IPMU'08) Malaga Spain (pp.1231–1238).
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