Constructing descriptive and discriminative nonlinear features: Rayleigh coefficients in kernel feature spaces
Tóm tắt
Từ khóa
Tài liệu tham khảo
tipping, 2000, The Relevance Vector Machine, Proc Conf Advances in Neural Information Processing Systems, 12, 652
bishop, 1995, Neural Networks for Pattern Recognition
saunders, 1998, Ridge Regression Learning Algorithm in Dual Variables, Proc 15th Int'l Conf Machine Learning, 515
sch�lkopf, 2001, A Generalized Representer Theorem, Proc COLT/EuroCOLT, 416
vapnik, 1998, Statistical Learning Theory
duda, 1973, Pattern Classification and Scene Analysis
diamantaras, 1996, Principal Component Neural Networks
2002
graepel, 1999, classification on proximity data with lp-machines, Proceedings of 9th International Conference on Artificial Neural Networks ICANN 99, 1, 304, 10.1049/cp:19991126
r�tsch, 2002, Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces, Machine Learning, 48, 193
blake, 1998, UCI Repository of Machine Learning Databases
mika, 2001, An Improved Training Algorithm for Kernel Fisher Discriminants, Proc AISTATS, 98
simard, 1998, Transformation Invariance in Pattern RecognitionTangent Distance and Tangent Propagation, Neural Networks Tricks of the Trade, 1524, 239, 10.1007/3-540-49430-8_13
mika, 2001, A Mathematical Programming Approach to the Kernel Fisher Algorithm, Proc Conf Neural Information Processing Systems, 13, 591
platt, 1999, Fast Training of Support Vector Machines Using Sequential Minimal Optimization, Advances in Kernel MethodsSupport Vector Learning, 185
keerthi, 2002, SMO Algorithm for Least Squares SVM Formulations
sch�lkopf, 2002, Learning with kernels
roth, 2000, Nonlinear Discriminant Analysis Using Kernel Functions, Proc Conf Advances in Neural Information Processing Systems, 12, 568
gestel, 2001, Bayesian Framework for Least Squares Support Vector Machine Classifiers, Gaussian Processs and Kernel Fisher Discriminant Analysis