Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms

Xuan Zhang, B. John Oommen, Ole-Christoffer Granmo, Lei Jiao. Using the Theory of Regular Functions to Formally Prove the ε-Optimality of Discretized Pursuit Learning Algorithms. In Moonis Ali, Jeng-Shyang Pan, Shyi-Ming Chen, Mong-Fong Horng, editors, Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, June 3-6, 2014, Proceedings, Part I. Volume 8481 of Lecture Notes in Computer Science, pages 379-388, Springer, 2014. [doi]

Abstract

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