Chang MW, Lin CJ. (2005). Leave-One-Out Bounds for Support Vector Regression Model Selection Neural Comput. 17
Glasmachers T, Igel C. (2008). Second-order SMO improves SVM online and active learning. Neural computation. 20 [PubMed]
Ikeda K, Murata N. (2005). Geometrical properties of nu support vector machines with different norms. Neural computation. 17 [PubMed]
Kanamori T, Takenouchi T, Eguchi S, Murata N. (2007). Robust loss functions for boosting. Neural computation. 19 [PubMed]
Kao WC, Chung KM, Sun CL, Lin CJ. (2004). Decomposition Methods for Linear Support Vector Machines Neural Comput. 16
Neymotin SA, Dura-Bernal S, Lakatos P, Sanger TD, Lytton WW. (2016). Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex. Frontiers in pharmacology. 7 [PubMed]
Sundararajan S, Shevade S, Keerthi SS. (2007). Fast generalized cross-validation algorithm for sparse model learning. Neural computation. 19 [PubMed]
Washizawa Y, Yamashita Y. (2006). Kernel projection classifiers with suppressing features of other classes. Neural Comput. 18
Wu Q, Zhou DX. (2005). SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Neural Comput. 17