참고문헌
- Data Mining and Knowledge discovery 2 A Tutorial on Support Vector Machines for Pattern Recognition C. Burges
- Dept. of Engineering Mathematics Technical Report, U. of Bristol Simple Learning Algorithms for Training Support Vector Machines C. Campbell;N. Cristianini
- NeuroCOLT2 Technical Report Dynamically Adapting Kernels in Support Vector Machines N. Cristianini;C. Campell;J. Shawe-Taylor
- MIT AI Lab., Technical Report A Unified Framework and Regularization Networks and Support Vector Machines T. Evgeniou;M. Pontil;T. Poggio
- ISIS Technical Report, U. fo Southampton Support Vector Machines for Classification and Regression S. Gunn
- MIT AI Lab., Technical Report Support Vector Machines : Training and Applications E. Osunam;R. Freund;F. Girosi
- Proceedings of the 8th International Conference on Artificial Neural Networks, Perspectives in Neural Computing Support vector regression with automatics accuracy control B. Scholkopf;P. Bartlett;A. Smola;R. Williamson
- Ph. D. Thesis, U. of Minnesota Model Selection Using Statistical Learning Theory X. Shao
- NeuroCOLT2 Technical Report A Tutorial in Support Vector Regression A. J. Smola;B. Scholkopf
- The Nature of Statistical Learning Theory V. Vapnik
- Statistical Learning Theory V. Vapnik
- Communication in Statistics v.4 A completely automatic French Curve G. Wahba;S. Wold