Generalized hidden-mapping minimax probability machine for the training and reliability learning of several classical intelligent models

DOI10.1016/j.ins.2018.01.034zbMath1440.68205OpenAlexW2792068391MaRDI QIDQ2195441

Te Zhang, Longbing Cao, Zhaohong Deng, Junyong Chen, Shi-Tong Wang

Publication date: 8 September 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2018.01.034

zbMATH Keywords

classificationneural networksfuzzy logical systemskernel tricksminimax probabilityreliability learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SeDuMi
• LIBSVM

Cites Work

• Unnamed Item
• Multi-class pattern classification using neural networks
• Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
• Applications of second-order cone programming
• Multilayer feedforward networks are universal approximators
• Fuzzy identification of systems and its applications to modeling and control
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• 10.1162/153244303321897726

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