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Cortes C, Vapnik V (1995) Support-vector networks Mach Learn 20:273-297

References and models cited by this paper

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Chang MW, Lin CJ (2005) Leave-One-Out Bounds for Support Vector Regression Model Selection Neural Comput 17:1188-1222

Glasmachers T, Igel C (2008) Second-order SMO improves SVM online and active learning. Neural Comput 20:374-82 [Journal] [PubMed]

Ikeda K, Murata N (2005) Geometrical properties of nu support vector machines with different norms. Neural Comput 17:2508-29 [Journal] [PubMed]

Kanamori T, Takenouchi T, Eguchi S, Murata N (2007) Robust loss functions for boosting. Neural Comput 19:2183-244 [Journal] [PubMed]

Kao WC, Chung KM, Sun CL, Lin CJ (2004) Decomposition Methods for Linear Support Vector Machines Neural Comput 16:1689-1704

Neymotin SA, Dura-Bernal S, Lakatos P, Sanger TD, Lytton WW (2016) Multitarget Multiscale Simulation for Pharmacological Treatment of Dystonia in Motor Cortex. Front Pharmacol 7:157 [Journal] [PubMed]

   Multitarget pharmacology for Dystonia in M1 (Neymotin et al 2016) [Model]

Sundararajan S, Shevade S, Keerthi SS (2007) Fast generalized cross-validation algorithm for sparse model learning. Neural Comput 19:283-301 [Journal] [PubMed]

Washizawa Y, Yamashita Y (2006) Kernel projection classifiers with suppressing features of other classes. Neural Comput 18:1932-50

Wu Q, Zhou DX (2005) SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming Neural Comput 17:1160-1187

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