Find all needed information about Vapnik Support Vector Networks Machine Learning. Below you can see links where you can find everything you want to know about Vapnik Support Vector Networks Machine Learning.
https://link.springer.com/article/10.1007%2FBF00994018
Sep 01, 1995 · High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated. We also compare the performance of the support-vector network to various classical learning algorithms that all took part in a …Cited by: 38765
http://image.diku.dk/imagecanon/material/cortes_vapnik95.pdf
Support-Vector Networks CORINNA CORTES [email protected] VLADIMIR VAPNIK [email protected] AT&T Bell Labs., Holmdel, NJ 07733, USA Editor: Lorenza Saitta Abstract. The support-vector network is a new learning machine for two-group classification problems. The
https://link.springer.com/article/10.1023%2FA%3A1022627411411
Sep 01, 1995 · The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. In this feature space …Cited by: 38765
https://en.wikipedia.org/wiki/Vladimir_Vapnik
Vladimir Naumovich Vapnik (Russian: Владимир Наумович Вапник; born 6 December 1936) is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning, and the co-inventor of the support-vector machine method, and support-vector clustering algorithm.Alma mater: Institute of Control Sciences, …
http://scholar.google.com/citations?user=vtegaJgAAAAJ&hl=en
Support-vector networks. C Cortes, V Vapnik. Machine learning 20 (3), 273-297, 1995. ... CJC Burges, L Kaufman, AJ Smola, V Vapnik. Advances in neural information processing systems, 155-161, 1997. 3176: 1997: Support vector method for function approximation, regression estimation and signal processing ... Journal of machine learning research 2 ...
Need to find Vapnik Support Vector Networks Machine Learning information?
To find needed information please read the text beloow. If you need to know more you can click on the links to visit sites with more detailed data.
