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2.10 文献笔记

原文 The Elements of Statistical Learning
翻译 szcf-weiya
发布 2016-09-30
更新 2018-02-21
状态 Done

关于 学习问题 (learning problem) 的一些很好的综合书籍是 Duda et al.(2000)1，Bishop(1995)2，(Bishop, 20063)，Ripley(1996)4，Cherkassky and Mulier (2007)5 和 Vapnik(1996)6．本章的部分内容是基于 Friedman (1994b)7．

  1. Duda, R., Hart, P. and Stork, D. (2000). Pattern Classification (2nd Edition), Wiley, New York. ↩

  2. Bishop, C. (1995). Neural Networks for Pattern Recognition, Clarendon Press, Oxford. ↩

  3. Bishop, C. (2006). Pattern Recognition and Machine Learning, Springer, New York. ↩

  4. Ripley, B. D. (1996). Pattern Recognition and Neural Networks, Cambridge University Press. ↩

  5. Cherkassky, V. and Mulier, F. (2007). Learning from Data (2nd Edition), Wiley, New York. ↩

  6. Vapnik, V. (1996). The Nature of Statistical Learning Theory, Springer, New York. ↩

  7. Friedman, J. (1994b). An overview of predictive learning and function approximation, in V. Cherkassky, J. Friedman and H. Wechsler (eds), From Statistics to Neural Networks, Vol. 136 of NATO ISI Series F, Springer, New York. ↩

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