{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T14:38:49Z","timestamp":1771166329169,"version":"3.50.1"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2002,12,1]],"date-time":"2002-12-01T00:00:00Z","timestamp":1038700800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2002,12,1]],"date-time":"2002-12-01T00:00:00Z","timestamp":1038700800000},"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":["Neural Processing Letters"],"published-print":{"date-parts":[[2002,12]]},"DOI":"10.1023\/a:1021798002258","type":"journal-article","created":{"date-parts":[[2003,3,21]],"date-time":"2003-03-21T02:15:11Z","timestamp":1048212911000},"page":"293-302","source":"Crossref","is-referenced-by-count":54,"title":["Reduced Rank Kernel Ridge Regression"],"prefix":"10.1007","volume":"16","author":[{"given":"Gavin C.","family":"Cawley","sequence":"first","affiliation":[]},{"given":"Nicola L. C.","family":"Talbot","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"5101045_CR1","first-page":"1244","volume":"3","author":"G. Baudat","year":"2001","unstructured":"Baudat, G. and Anouar F.: Kernel-based Methods and Funciton Approximaiton, In: Proceedings, International Joint Conference on Neural Networks, Vol. 3. pp. 1244-1249. Washington, DC, 2001.","journal-title":"Proceedings, International Joint Conference on Neural Networks"},{"issue":"1","key":"5101045_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/neco.1992.4.1.1","volume":"4","author":"S. Geman","year":"1992","unstructured":"Geman, S., Bienenstock E. and Doursat R.: Neural networks and the bias\/variance dilemma. Neural Computation\n4(1) (1992), 1-58.","journal-title":"Neural Computation"},{"key":"5101045_CR3","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0095-0696(78)90006-2","volume":"5","author":"D. Harrison","year":"1978","unstructured":"Harrison, D. and Rubinfeld D. L.: Hedonic prices and the demand for clean air. Journal Environmental Economics and Management\n5 (1978), 81-102.","journal-title":"Journal Environmental Economics and Management"},{"issue":"1","key":"5101045_CR4","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/00401706.1970.10488634","volume":"12","author":"A. E. Hoerl","year":"1970","unstructured":"Hoerl, A. E. and Kennard R. W.: Ridge Regression: Biased Estimation for Nonorthogonal Problems. Technometrics\n12(1) (1970), 55-67.","journal-title":"Technometrics"},{"key":"5101045_CR5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/BF01893414","volume":"2","author":"C. A. Micchelli","year":"1986","unstructured":"Micchelli, C. A.: Interpolation of Scattered Data: Distance Matrices and Conditionally Positive Definite Funcitons. Constructive Approximation\n2 (1986), 11-22.","journal-title":"Constructive Approximation"},{"key":"5101045_CR6","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","volume":"7","author":"J. A. Nelder","year":"1965","unstructured":"Nelder, J. A. and Mead R.: A simplex method for function minimization. Computer Journal\n7 (1965), 308-313.","journal-title":"Computer Journal"},{"key":"5101045_CR7","volume-title":"Technical Report AI Memo 2001-011","author":"T. Poggio","year":"2001","unstructured":"Poggio, T., Mukherjee, S. Rifkin, R. Rakhlin, A. and Verri A.: 2001, 'b'. Technical Report AI Memo 2001-011, Massachusetts Institute of Technology, Cambridge, MA."},{"key":"5101045_CR8","unstructured":"Saunders, C., Gammerman, A. and Vovk V.: Ridge Regression Learning Algorithm in Dual Variables. In: Proceedings, 15th International Conference on Machine Learning. Madison, WI, (1998) pp. 515-521."},{"issue":"1","key":"5101045_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1985.tb01327.x","volume":"47","author":"B. W. Silverman","year":"1985","unstructured":"Silverman, B. W.: Some Aspects of the Spline Smoothing Approach to Non-parametric Regression Curve Fiting. Journal of the Royal Statistical Society, B\n47(1) (1985), 1-52.","journal-title":"Journal of the Royal Statistical Society, B"},{"key":"5101045_CR10","unstructured":"Suykens, J., Lukas, L. And Vandewalle J.: Sparse Approximaiton using Least-squres Support Vector Machines. In: Proceedings, IEEE Internaitonal Symposium on Circuits and Systems. Geneva, Switzerland, 2000, pp. 11757-11760."},{"key":"5101045_CR11","doi-asserted-by":"crossref","unstructured":"Suykens, J. A. K., De Brabanter, J. Lukas, L. and Vandewalle J.: Weighted Least Squares Support Vector Machines: robustness and sparse approximation. Neurocomputing, 2001.","DOI":"10.1142\/5089"},{"key":"5101045_CR12","volume-title":"Solutions of ill-posed problems","author":"A. A. Tikhonov","year":"1977","unstructured":"Tikhonov, A. A. and Arsenin V. Y.: Solutions of ill-posed problems. New York: John Wiley, 1977"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1021798002258.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1023\/A:1021798002258\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1023\/A:1021798002258.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T09:26:27Z","timestamp":1749720387000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1023\/A:1021798002258"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,12]]},"references-count":12,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2002,12]]}},"alternative-id":["5101045"],"URL":"https:\/\/doi.org\/10.1023\/a:1021798002258","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2002,12]]}}}