The Key Theorem of Learning Theory Based on Sugeno Measure and Fuzzy Random Samples

Lecture Notes in Computer Science - Life System Modeling and Intelligent Computing ◽

10.1007/978-3-642-15597-0_27 ◽

2010 ◽

pp. 241-249 ◽

Author(s):

Minghu Ha ◽

Chao Wang ◽

Witold Pedrycz

Keyword(s):

Learning Theory ◽

Random Samples ◽

The Key Theorem ◽

Sugeno Measure ◽

Key Theorem ◽

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The key theorem and the bounds on the rate of uniform convergence of learning theory on Sugeno measure space

Science in China Series F Information Sciences ◽

10.1007/s11432-006-0372-8 ◽

2006 ◽

Vol 49 (3) ◽

pp. 372-385 ◽

Author(s):

Minghu Ha ◽

Yan Li ◽

Jia Li ◽

Dazeng Tian

Keyword(s):

Uniform Convergence ◽

Learning Theory ◽

Measure Space ◽

The Key Theorem ◽

Sugeno Measure ◽

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The theoretical foundations of statistical learning theory based on fuzzy random samples in Sugeno measure space

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331211403796 ◽

2011 ◽

Vol 34 (5) ◽

pp. 520-526 ◽

Author(s):

Ha Minghu ◽

Wang Chao ◽

Witold Pedrycz

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Measure Space ◽

Statistical Learning Theory ◽

Random Samples ◽

Sugeno Measure ◽

Theoretical Foundations ◽

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The key theorem of learning theory about fuzzy examples

Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693) ◽

10.1109/icmlc.2003.1259671 ◽

2004 ◽

Author(s):

Ming-Hu Ha ◽

Wen-Guang Tang ◽

Yun-Chao Bai

Keyword(s):

Learning Theory ◽

The Key Theorem ◽

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The key theorem of statistical learning theory of complex rough samples corrupted by noise

2008 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2008.4620523 ◽

2008 ◽

Author(s):

Jing-Feng Tian ◽

Zhi-Ming Zhang

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

The Key Theorem ◽

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Some Theoretical Results of Learning Theory Based on Intuitionistic Fuzzy Random Samples

British Journal of Mathematics & Computer Science ◽

10.9734/bjmcs/2014/10385 ◽

2014 ◽

Vol 4 (15) ◽

pp. 2197-2216

Author(s):

Zhiming Zhang

Keyword(s):

Learning Theory ◽

Intuitionistic Fuzzy ◽

Random Samples ◽

Theoretical Results ◽

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The key theorem of statistical learning theory on possibility spaces

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527708 ◽

2005 ◽

Author(s):

Yun-Chao Bai ◽

Ming-Hu Ha

Keyword(s):

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

The Key Theorem ◽

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Theoretical research of a learning theory based on fuzzy random samples corrupted by noise

Advances in Computer Science and Technology ◽

10.2495/iccst140411 ◽

2014 ◽

Author(s):

H. J. Li ◽

J. H. Li

Keyword(s):

Learning Theory ◽

Theoretical Research ◽

Random Samples ◽

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The Key Theorem and the Bounds on the Rate of Uniform Convergence of Statistical Learning Theory on Quasi-Probability Spaces

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2008.00476 ◽

2009 ◽

Vol 31 (3) ◽

pp. 476-485 ◽

Author(s):

Ming-Hu HA ◽

Zhi-Fang FENG ◽

Shi-Ji SONG ◽

Lin-Qing GAO

Keyword(s):

Uniform Convergence ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

The Key Theorem ◽

Probability Spaces ◽

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The key theorem of learning theory with samples corrupted by zero-expect noise on chance space

2012 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2012.6359027 ◽

2012 ◽

Author(s):

Jun-Hua Li ◽

Hai-Jun Li ◽

Qiang He

Keyword(s):

Learning Theory ◽

The Key Theorem ◽

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The key theorem of learning theory about examples corrupted by noise

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) ◽

10.1109/icmlc.2004.1382091 ◽

2005 ◽

Author(s):

Ming-Hu Ha ◽

Jun-Hua Li ◽

Jia Li ◽

Xi-Zhao Wang

Keyword(s):

Learning Theory ◽

The Key Theorem ◽

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