Erythemato-Squamous Diseases Diagnosis by Support Vector Machines and RBF NN
暂无分享,去创建一个
[1] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[2] V. Kecman,et al. Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance , 2005 .
[3] H. Altay Güvenir,et al. Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals , 1998, Artif. Intell. Medicine.
[4] Michael Vogt,et al. Active-Set Methods for Support Vector Machines , 2005 .
[5] Giovanna Castellano,et al. Diagnosis of dermatological diseases by a neuro-fuzzy system , 2003, EUSFLAT Conf..
[6] Ryan M. Rifkin,et al. In Defense of One-Vs-All Classification , 2004, J. Mach. Learn. Res..
[8] Vojislav Kecman,et al. Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models , 2001 .
[9] Vojislav Kecman,et al. Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning , 2006, Studies in Computational Intelligence.
[10] Vladimir Cherkassky,et al. Learning from data , 1998 .
[11] Lipo Wang. Support vector machines : theory and applications , 2005 .