Citation Relationships
| Legends: | Link to a Model | Reference cited by multiple papers |
Vapnik V (1995) The Nature of Statistical Learning Theory
References and models cited by this paper | References and models that cite this paper | |||
Aires F, Prigent C, Rossow WB (2004) Neural network uncertainty assessment using Bayesian statistics: a remote sensing application. Neural Comput 16:2415-58 [Journal] [PubMed] Baram Y (2005) Learning by Kernel Polarization Neural Comput 17:1264-1275 Bo L, Wang L, Jiao L (2006) Feature scaling for kernel fisher discriminant analysis using leave-one-out cross validation. Neural Comput 18:961-78 [Journal] [PubMed] Chu W, Keerthi SS (2007) Support vector ordinal regression. Neural Comput 19:792-815 [Journal] [PubMed] Eisenthal Y, Dror G, Ruppin E (2005) Facial Attractiveness: Beauty and the Machine Neural Comput 18:119-142 Fushiki T, Horiuchi S, Tsuchiya T (2006) A maximum likelihood approach to density estimation with semidefinite programming. Neural Comput 18:2777-812 [Journal] [PubMed] Gunter L, Zhu J (2007) Efficient computation and model selection for the support vector regression. Neural Comput 19:1633-55 [Journal] [PubMed] Horcholle-Bossavit G, Quenet B, Foucart O (2007) Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system. Biosystems 89:244-56 [Journal] [PubMed]
Ikeda K (2004) An asymptotic statistical theory of polynomial kernel methods Neural Comput 16:1705-1719 Ikeda K, Murata N (2005) Geometrical properties of nu support vector machines with different norms. Neural Comput 17:2508-29 [Journal] [PubMed] Kurková V (2008) Minimization of error functionals over perceptron networks. Neural Comput 20:252-70 [Journal] [PubMed] Lin TC, Yu PT (2004) Adaptive two-pass median filter based on support vector machines for image restoration. Neural Comput 16:332-53 [Journal] [PubMed] Liu X, Hall LO, Bowyer KW (2004) Comments on "a parallel mixture of SVMs for very large scale problems". Neural Comput 16:1345-51 [Journal] [PubMed] Murata N, Takenouchi T, Kanamori T, Eguchi S (2004) Information geometry of U-Boost and Bregman divergence. Neural Comput 16:1437-81 [Journal] [PubMed] Park H, Murata N, Amari S (2004) Improving generalization performance of natural gradient learning using optimized regularization by NIC. Neural Comput 16:355-82 [Journal] [PubMed] Rosasco L, De Vito E, Caponnetto A, Piana M, Verri A (2004) Are loss functions all the same? Neural Comput 16:1063-76 [Journal] [PubMed] Schmidhuber J, Wierstra D, Gagliolo M, Gomez F (2007) Training recurrent networks by Evolino. Neural Comput 19:757-79 [Journal] [PubMed] Shpigelman L, Singer Y, Paz R, Vaadia E (2005) Spikernels: predicting arm movements by embedding population spike rate patterns in inner-product spaces. Neural Comput 17:671-90 [Journal] [PubMed] Shrestha DL, Solomatine DP (2006) Experiments with AdaBoost.RT, an improved boosting scheme for regression. Neural Comput 18:1678-710 [Journal] [PubMed] Sugiyama M, Kawanabe M, Müller KR (2004) Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression. Neural Comput 16:1077-104 [Journal] [PubMed] Van Hulle MM (2005) Edgeworth approximation of multivariate differential entropy. Neural Comput 17:1903-10 [PubMed] Van Hulle MM (2005) Maximum likelihood topographic map formation. Neural Comput 17:503-13 [Journal] [PubMed] Viéville T, Crahay S (2004) Using an Hebbian learning rule for multi-class SVM classifiers. J Comput Neurosci 17:271-87 [Journal] [PubMed] Zheng W (2006) Class-incremental generalized discriminant analysis. Neural Comput 18:979-1006 [Journal] [PubMed] Zheng W, Zhao L, Zou C (2004) A modified algorithm for generalized discriminant analysis. Neural Comput 16:1283-97 [Journal] [PubMed] | ||||