{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:35:38Z","timestamp":1725564938475},"publisher-location":"Berlin, Heidelberg","reference-count":19,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540221159"},{"type":"electronic","value":"9783540246879"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-24687-9_7","type":"book-chapter","created":{"date-parts":[[2010,9,8]],"date-time":"2010-09-08T21:01:09Z","timestamp":1283979669000},"page":"50-57","source":"Crossref","is-referenced-by-count":0,"title":["Online Algorithm for Time Series Prediction Based on Support Vector Machine Philosophy"],"prefix":"10.1007","author":[{"given":"J. M.","family":"G\u00f3rriz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. G.","family":"Puntonet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Salmer\u00f3n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"7_CR1","unstructured":"Tikhonov, A.N., Arsenin, V.Y.: Solutions of Ill-Posed Problems, Winston, Washington D.C., U.S.A., Berlin, Heidelberg, New York, pp. 415\u2013438 (1997)"},{"key":"7_CR2","unstructured":"Vapnik, V., Chervonenkis, A.: Theory of Pattern Recognition. Nauka, Moscow (1974) (in Russian)"},{"key":"7_CR3","first-page":"243","volume-title":"Advances in kernel Methods-Spport Vector Learning","author":"K.R. Muller","year":"1999","unstructured":"Muller, K.R., Smola, A.J., Ratsch, G., Scholkopf, B., Kohlmorgen, J.: Using Support Vector Machines for time series prediction. In: Advances in kernel Methods-Spport Vector Learning, pp. 243\u2013254. MIT Press, Cambridge (1999)"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Smola, A.J., Scholkopf, B., Muller, K.R.: The connection between regularization operators and support vector kernels. Neural Networks 11, 637\u2013649","DOI":"10.1016\/S0893-6080(98)00032-X"},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1162\/neco.1991.3.2.213","volume":"3","author":"J. Platt","year":"1991","unstructured":"Platt, J.: A resource-allocating network for function interpolation. Neural Computation\u00a03, 213\u2013225 (1991)","journal-title":"Neural Computation"},{"key":"7_CR6","unstructured":"Salmer\u00f3n-Campos, M.: Predicci\u00f3n de Series Temporales con Rede Neuronales de Funciones Radiales y T\u00e9cnicas de Descomposici\u00f3n Matricial. PhD Thesis, University of Granada, DEpartamento de Arquitectura y Tecnolog\u00eda de Computadores (2001)"},{"key":"7_CR7","unstructured":"Kolmogorov, A.N.: On the representation of continuous fucntions of several variables by superposition of continuos fucntions of one variable and addition. Dokl. Akad. Nauk USSR, vol. 114, pp. 953\u2013956 (1957)"},{"issue":"2","key":"7_CR8","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1109\/72.914517","volume":"12","author":"K.R. Muller","year":"2001","unstructured":"Muller, K.R., Mika, S., Ratsch, G., Tsuda, K., Scholkopf, B.: An Introduction to Kernel-Based Learning Algorithms. IEEE Transactions on neural Networks\u00a012(2), 181\u2013201 (2001)","journal-title":"IEEE Transactions on neural Networks"},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1126\/science.247.4945.978","volume":"247","author":"T. Poggio","year":"1990","unstructured":"Poggio, T., Girosi, F.: Regularization algorithms for learning that are equivalent to multilayer networks. Science\u00a0247, 978\u2013982 (1990)","journal-title":"Science"},{"key":"7_CR10","unstructured":"Vapnik, V., Lerner, A.: Pattern Recognition using Generalized Portrait Method. Automation and Remote Control 24(6) (1963)"},{"key":"7_CR11","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. Wiley, N.Y. (1998)"},{"issue":"209","key":"7_CR12","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1098\/rsta.1909.0016","volume":"A","author":"J. Mercer","year":"1909","unstructured":"Mercer, J.: Functions of positive and negative type and their connection with the theory of integral equations. Philos. Trans. Roy. Soc. London\u00a0A(209), 415\u2013446 (1909)","journal-title":"Philos. Trans. Roy. Soc. London"},{"key":"7_CR13","first-page":"481","volume-title":"2nd Symposium on Mathematical Statistics and Probabilistics","author":"H.W. Kuhn","year":"1951","unstructured":"Kuhn, H.W., Tucker, A.W.: Nonlinear Programming. In: 2nd Symposium on Mathematical Statistics and Probabilistics, pp. 481\u2013492. University of California Press, California (1951)"},{"issue":"4598","key":"7_CR14","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S. Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by Simulated Annealing. Science\u00a0220(4598), 671\u2013680 (1983)","journal-title":"Science"},{"key":"7_CR15","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-2696-8","volume-title":"Stochastic Approximation Algorithms and Applications","author":"H.J. Kushner","year":"1997","unstructured":"Kushner, H.J., Yin, G.: Stochastic Approximation Algorithms and Applications. Springer, New York (1997)"},{"issue":"9","key":"7_CR16","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1109\/5.58325","volume":"78","author":"T. Kohonen","year":"1990","unstructured":"Kohonen, T.: The Self-Organizing Map. Proceedings of the IEEE\u00a078(9), 1464\u20131480 (1990)","journal-title":"Proceedings of the IEEE"},{"key":"7_CR17","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/S0925-2312(02)00577-5","volume":"51","author":"L. Cao","year":"2003","unstructured":"Cao, L.: Support Vector Machines Experts for Time Series Forecasting. Neurocomputing\u00a051, 321\u2013339 (2003)","journal-title":"Neurocomputing"},{"key":"7_CR18","unstructured":"G\u00f3rriz, J.M. : Algor\u00edtmos H\u00edbridos para la Modelizaci\u00f3n de Series Temporales con T\u00e9cnicas AR-ICA. In Press PhD Thesis, University of C\u00e1diz (2003)"},{"key":"7_CR19","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1126\/science.267326","volume":"197","author":"M.C. Mackey","year":"1977","unstructured":"Mackey, M.C., Glass, L.: Science 197, 287\u2013289 (1977)","journal-title":"Science"}],"container-title":["Lecture Notes in Computer Science","Computational Science - ICCS 2004"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-24687-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T06:20:58Z","timestamp":1559629258000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-24687-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540221159","9783540246879"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-24687-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}