Performance Evaluation of ECOC Considering Estimated Probability of Binary Classifiers-Reference-Cited by-同舟云学术

Performance Evaluation of ECOC Considering Estimated Probability of Binary Classifiers

Published:2022 Issue: Volume: Page:379-389
ISSN:2367-3370
Container-title:Information Systems and Technologies
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Author:

Kumoi Gendo,Yagi Hideki,Kobayashi Manabu,Goto Masayuki,Hirasawa Shigeichi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-04819-7_37

Reference16 articles.

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2. Berlekamp, E.R.: Algebraic Coding Theory, revised edn. World Scientific, Hackensack (2015)

3. Dietterich, T.G., Bakiri, G.: Solving multiclass learning problems via error-correcting output codes. J. Artif. Intell. Res. 2, 263–286 (1994)

4. Escalera, S., Pujol, O., Radeva, P.: Error-correcting output codes library. J. Mach. Learn. Res. 11, 661–664 (2010)

5. Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 55(1), 119–139 (1997)

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1. Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers;International Journal of Neural Systems;2023-01-09

2. Construction Methods for Error Correcting Output Codes Using Constructive Coding and Their System Evaluations;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09

3. Effect of Hamming Distance on Performance of ECOC with Estimated Binary Classifiers;2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2022-10-09