Infrared and Laser Engineering, Volume. 33, Issue 5, 533(2004)
Simplified SMO algorithm for Support Vector Regression
References(4)
[1] [1] Vapnik V. The Nature of Statistical Learning Theory. 2nd ed.[M]. NewYork:Springer-Verlag, 1998.
[3] [3] Platt J C. Fast Training of Support Vector Machines Using Sequential Minimal Optimization[M]. Advances in Kernel Methods:Support Vector Machines (Edited by Scholkopf B,Burges C,Smola A)[M]. Cambridge MA: MIT Press, 1998.185-208.
[4] [4] Smola Alex J,Scholkopf Bernhard. A Tutorial on Support Vector Regression[EB/OL]. http://www.neurocolt.com NeuroCOLT2 Technical Report Series NC2-TR-1998-030.
[5] [5] Flake Gary William,Lawrence Steve. Efficient SVM Regression Training with SMO[J]. Machine Learning,2002,46(1/2/3):271-290.
Tools
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Simplified SMO algorithm for Support Vector Regression[J]. Infrared and Laser Engineering, 2004, 33(5): 533
Paper Information
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20