{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:25:21Z","timestamp":1761596721567,"version":"3.43.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2000,6,1]],"date-time":"2000-06-01T00:00:00Z","timestamp":959817600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2000,6,1]],"date-time":"2000-06-01T00:00:00Z","timestamp":959817600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Computer Vision"],"published-print":{"date-parts":[[2000,6]]},"DOI":"10.1023\/a:1008110632619","type":"journal-article","created":{"date-parts":[[2002,12,22]],"date-time":"2002-12-22T08:17:47Z","timestamp":1040545067000},"page":"9-13","source":"Crossref","is-referenced-by-count":40,"title":["Statistical Learning Theory: A Primer"],"prefix":"10.1007","volume":"38","author":[{"given":"Theodoros","family":"Evgeniou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimiliano","family":"Pontil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomaso","family":"Poggio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"266547_CR1","unstructured":"Alon, N., Ben-David, S., Cesa-Bianchi, N., and Haussler, D. 1993. Scale-sensitive dimensions, uniform convergence, and learnability. Symposium on Foundations of Computer Science."},{"key":"266547_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1023\/A:1022627411411","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C. and Vapnik, V. 1995. Support vector networks. Machine Learning, 20:1\u201325.","journal-title":"Machine Learning"},{"key":"266547_CR3","series-title":"Applications of Mathematics","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0711-5","volume-title":"A Probabilistic Theory of Pattern Recognition","author":"L. Devroye","year":"1996","unstructured":"Devroye, L., Gy\u00f6rfi, L., and Lugosi, G. 1996. A Probabilistic Theory of Pattern Recognition, No. 31 in Applications of Mathematics. Springer: New York."},{"key":"266547_CR4","unstructured":"Evgeniou, T., Pontil, M., Papageorgiou, C., and Poggio, T. 2000. Image representations for object detection using kernel classifiers. In Proceedings ACCV. Taiwan, p. To appear."},{"key":"266547_CR5","doi-asserted-by":"crossref","unstructured":"Evgeniou, T., Pontil, M., and Poggio, T. 1999. A unified framework for Regularization Networks and Support Vector Machines. A.I. Memo No. 1654, Artificial Intelligence Laboratory, Massachusetts Institute of Technology.","DOI":"10.7551\/mitpress\/1113.003.0014"},{"key":"266547_CR6","doi-asserted-by":"crossref","unstructured":"Ezzat, T. and Poggio, T. 1996. Facial analysis and synthesis using image-based models. In Face and Gesture Recognition. pp. 116\u2013121.","DOI":"10.1109\/AFGR.1996.557252"},{"key":"266547_CR7","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1162\/neco.1995.7.2.219","volume":"7","author":"F. Girosi","year":"1995","unstructured":"Girosi, F., Jones, M., and Poggio, T. 1995. Regularization theory and neural networks architectures. Neural Computation, 7:219\u2013269.","journal-title":"Neural Computation"},{"key":"266547_CR8","unstructured":"Jaakkola, T. and Haussler, D. 1998. Probabilistic kernel regression models. In Proc. of Neural Information Processing Conference."},{"issue":"3","key":"266547_CR9","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/S0022-0000(05)80062-5","volume":"48","author":"M. Kearns","year":"1994","unstructured":"Kearns, M. and Shapire, R. 1994. Efficient distribution-free learning of probabilistic concepts. Journal of Computer and Systems Sciences, 48(3):464\u2013497.","journal-title":"Journal of Computer and Systems Sciences"},{"key":"266547_CR10","unstructured":"Mohan, A. 1999. Robust object detection in images by components. Master's Thesis, Massachusetts Institute of Technology."},{"key":"266547_CR11","unstructured":"Osuna, E., Freund, R., and Girosi, F. 1997. An improved training algorithm for support vector machines. In IEEEWorkshop on Neural Networks and Signal Processing, Amelia Island, FL."},{"key":"266547_CR12","unstructured":"Papageorgiou, C., Oren, M., and Poggio, T. 1998. A general framework for object detection. In Proceedings of the International Conference on Computer Vision, Bombay, India."},{"key":"266547_CR13","unstructured":"Platt, J.C. 1998. Sequential minimal imization: A fast algorithm for training support vector machines. Technical Report MST-TR-98-14, Microsoft Research."},{"key":"266547_CR14","volume-title":"Solutions of Ill-posed Problems","author":"A.N. Tikhonov","year":"1977","unstructured":"Tikhonov, A.N. and Arsenin, V.Y. 1977. Solutions of Ill-posed Problems. Washington, D.C.: W.H. Winston."},{"key":"266547_CR15","volume-title":"Statistical Learning Theory","author":"V.N. Vapnik","year":"1998","unstructured":"Vapnik, V.N. 1998. Statistical Learning Theory. Wiley: New York."},{"issue":"2","key":"266547_CR16","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1137\/1116025","volume":"17","author":"V.N. Vapnik","year":"1971","unstructured":"Vapnik, V.N. and Chervonenkis, A.Y. 1971. On the uniform convergence of relative frequences of events to their probabilities. Th. Prob. and its Applications, 17(2):264\u2013280.","journal-title":"Th. Prob. and its Applications"},{"key":"266547_CR17","doi-asserted-by":"crossref","unstructured":"Wahba, G. 1990. Splines Models for Observational Data. Vol. 59, Series in Applied Mathematics: Philadelphia.","DOI":"10.1137\/1.9781611970128"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1008110632619.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1008110632619\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1008110632619.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T09:24:01Z","timestamp":1754904241000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1008110632619"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000,6]]},"references-count":17,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2000,6]]}},"alternative-id":["266547"],"URL":"https:\/\/doi.org\/10.1023\/a:1008110632619","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"type":"print","value":"0920-5691"},{"type":"electronic","value":"1573-1405"}],"subject":[],"published":{"date-parts":[[2000,6]]}}}