

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 (Unpublished Draft).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. ↩

Comments