学习方法参考文献

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学习方法,参考文献
学习方法参考文献

1. Kalman, R.E. (1960). A new approach to linear filtering and prediction problems. Transactions of the ASME—Journal of Basic Engineering, 82(1), 34-45.

2. Vapnik, V.N. (1995). The Nature of Statistical Learning Theory. Heidelberg, Germany: Springer Verlag.

3. Li, X., Li, Y., & Wang, J. (2008). An Introduction to Machine Learning. New York, NY: Cambridge University Press.

4. Bishop, C.M. (2006). Pattern Recognition and Machine Learning. New York, NY: Springer.

5. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning. New York, NY: Springer.

8. Bengio, Y., & LeCun, Y. (2007). Scaling learning

algorithms towards AI. In Large-Scale Kernel Machines. Cambridge, MA: MIT Press.

9. Mitchell, T.M. (1997). Machine Learning. New York, NY: McGraw Hill.

10. Duda, R.O., Hart, P.E., & Stork, D.G. (2001). Pattern Classification (2nd ed.). New York, NY: Wiley.