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17.5 文献笔记

原文 The Elements of Statistical Learning
翻译 szcf-weiya
发布 2017-02-27

定义和理解图模型结构做了很多工作.对图模型系统的处理可以在Whittaker(1990)1,Lauritzen(1996)2,Cox and Wermuth(1996)3,Edwards(2000)4,Pearl(2000)5,Anderson(2003)6,Jordan(2004)7,以及Koller and Friedman(2007)8中找到.Wasserman(2004)9给了简短的介绍,而且Bishop(2006)10的第8章给了更详细的概要.玻尔兹曼机在Ackley et al. (1985)11中提出.Ripley(1996)12有详细的一章来介绍与机器学习有关的图模型.我们发现这对于玻尔兹曼机的讨论特别有用.

  1. Whittaker, J. (1990). Graphical Models in Applied Multivariate Statistics, Wiley, Chichester. 

  2. Lauritzen, S. (1996). Graphical Models, Oxford University Press. 

  3. Cox, D. and Wermuth, N. (1996). Multivariate Dependencies: Models, Analysis and Interpretation, Chapman and Hall, London. 

  4. Edwards, D. (2000). Introduction to Graphical Modelling, 2nd Edition, Springer, New York. 

  5. Pearl, J. (2000). Causality: Models, Reasoning and Inference, Cambridge University Press. 

  6. Anderson, T. (2003). An Introduction to Multivariate Statistical Analysis, 3rd ed., Wiley, New York. 

  7. Jordan, M. (2004). Graphical models, Statistical Science (Special Issue on Bayesian Statistics) 19: 140–155. 

  8. Koller, D. and Friedman, N. (2007). Structured Probabilistic Models, Stanford Bookstore Custom Publishing. (Unpublished Draft). 

  9. Wasserman, L. (2004). All of Statistics: a Concise Course in Statistical Inference, Springer, New York. 

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

  11. Ackley, D. H., Hinton, G. and Sejnowski, T. (1985). A learning algorithm for Boltzmann machines, Trends in Cognitive Sciences 9: 147–169. 

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