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Learnable Algorithm on the Continuum

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Theory and Applications of Models of Computation (TAMC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4484))

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Abstract

Based on limiting recursive function proposed by Gold [2], learnable algorithm on the continuum are defined. We discuss the class of learnable real numbers and learnable real sequence in various ways. In this paper we summarize some attempts to classify the learnably approximable real numbers by the convergence rates of the corresponding computable(or learnable) sequences of rational numbers.

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References

  1. Ambos-Spies, K., Weihrauch, K., Zheng, X.: Weakly computable real numbers. Journal of complexity 16, 676–690 (2000)

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Jin-Yi Cai S. Barry Cooper Hong Zhu

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© 2007 Springer-Verlag Berlin Heidelberg

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Li, Z., Li, X. (2007). Learnable Algorithm on the Continuum. In: Cai, JY., Cooper, S.B., Zhu, H. (eds) Theory and Applications of Models of Computation. TAMC 2007. Lecture Notes in Computer Science, vol 4484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72504-6_37

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  • DOI: https://doi.org/10.1007/978-3-540-72504-6_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72503-9

  • Online ISBN: 978-3-540-72504-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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