{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T20:45:18Z","timestamp":1774298718621,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540290735","type":"print"},{"value":"9783540317289","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11559887_7","type":"book-chapter","created":{"date-parts":[[2005,10,13]],"date-time":"2005-10-13T13:21:18Z","timestamp":1129209678000},"page":"110-123","source":"Crossref","is-referenced-by-count":16,"title":["Transformations of Gaussian Process Priors"],"prefix":"10.1007","author":[{"given":"Roderick","family":"Murray-Smith","sequence":"first","affiliation":[]},{"given":"Barak A.","family":"Pearlmutter","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"7_CR1","series-title":"SIAM Monographs on Mathematical Modeling and Computation 4","volume-title":"Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion","author":"P.C. Hansen","year":"1997","unstructured":"Hansen, P.C.: Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion. SIAM Monographs on Mathematical Modeling and Computation 4. SIAM, Philadelphia (1997)"},{"issue":"7\/8","key":"7_CR2","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1080\/002071799220803","volume":"72","author":"D. Leith","year":"1999","unstructured":"Leith, D., Leithead, W.: Analytic framework for blended multiple model systems using linear local models. International Journal of Control\u00a072(7\/8), 605\u2013619 (1999)","journal-title":"International Journal of Control"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Murray-Smith, R., Sbarbaro, D.: Nonlinear adaptive control using non-parametric Gaussian process prior models. In: 15th IFAC World Congress on Automatic Control, Barcelona (2002)","DOI":"10.3182\/20020721-6-ES-1901.01040"},{"key":"7_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1978.tb01643.x","volume":"40","author":"A. O\u2019Hagan","year":"1978","unstructured":"O\u2019Hagan, A.: On curve fitting and optimal design for regression (with discussion). Journal of the Royal Statistical Society B\u00a040, 1\u201342 (1978)","journal-title":"Journal of the Royal Statistical Society B"},{"key":"7_CR5","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-7107-7","volume-title":"Functional Data Analysis","author":"J.O. Ramsay","year":"1997","unstructured":"Ramsay, J.O., Silverman, B.W.: Functional Data Analysis. Springer, Heidelberg (1997)"},{"key":"7_CR6","unstructured":"Rasmussen, C.E.: Evaluation of Gaussian Processes and other Methods for Non-Linear Regression. PhD thesis, Graduate department of Computer Science, University of Toronto (1996)"},{"key":"7_CR7","unstructured":"Seeger, M., Williams, C.K.I., Lawrence, N.D.: Fast forward selection to speed up sparse Gaussian process regression. In: Bishop, C.M., Frey, B.J. (eds.) Proceedings of the Ninth International Workshop on AI and Statistics (2003)"},{"key":"7_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/978-3-540-30560-6_5","volume-title":"Switching and Learning in Feedback Systems","author":"J. Shi","year":"2005","unstructured":"Shi, J., Murray-Smith, R., Titterington, D., Pearlmutter, B.: Learning with large data sets using filtered gaussian process priors. In: Murray-Smith, R., Shorten, R. (eds.) Switching and Learning 2004. LNCS, vol.\u00a03355, pp. 128\u2013139. Springer, Heidelberg (2005)"},{"key":"7_CR9","unstructured":"Shi, J.Q., Murray-Smith, R., Titterington, D.M.: Hierarchical Gaussian process mixtures for regression. Technical Report TR-2002-107, University of Glasgow, Scotland, UK (2002)"},{"key":"7_CR10","first-page":"1033","volume-title":"Advances in Neural Information Processing Systems","author":"E. Solak","year":"2003","unstructured":"Solak, E., Murray-Smith, R., Leithead, W.E., Leith, D.J., Rasmussen, C.E.: Derivative observations in Gaussian process models of dynamic systems. In: Becker, S., Thrun, S., Obermayer, K. (eds.) Advances in Neural Information Processing Systems, vol.\u00a015, pp. 1033\u20131040. MIT Press, Cambridge, MA (2003)"},{"key":"7_CR11","unstructured":"Tipping, M.E., Bishop, C.M.: Bayesian image super-resolution. In: Becker, S., Thrun, S., Obermeyer, K. (eds.) Neural Information Processing Systems, vol.\u00a012, pp. 1303\u20131310 (2002)"},{"key":"7_CR12","doi-asserted-by":"publisher","first-page":"2719","DOI":"10.1162\/089976600300014908","volume":"12","author":"V. Tresp","year":"2000","unstructured":"Tresp, V.: A Bayesian committee machine. Neural Computation\u00a012, 2719\u20132741 (2000)","journal-title":"Neural Computation"},{"key":"7_CR13","volume-title":"Regional Conference Series in Applied Mathematics","author":"G. Wahba","year":"1990","unstructured":"Wahba, G.: Spline models for observation data. In: Regional Conference Series in Applied Mathematics, SIAM, Philadelphia (1990)"},{"key":"7_CR14","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1162\/089976698300017412","volume":"10","author":"C.K.I. Williams","year":"1998","unstructured":"Williams, C.K.I.: Computation with infinite neural networks. Neural Computation\u00a010, 1203\u20131216 (1998a)","journal-title":"Neural Computation"},{"key":"7_CR15","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1007\/978-94-011-5014-9_23","volume-title":"Learning and Inference in Graphical Models","author":"C.K.I. Williams","year":"1998","unstructured":"Williams, C.K.I.: Prediction with Gaussian processes: From linear regression to linear prediction and beyond. In: Jordan, M.I. (ed.) Learning and Inference in Graphical Models, pp. 599\u2013621. Kluwer, Dordrecht (1998b)"},{"key":"7_CR16","volume-title":"Advances in Neural Information Processing Systems","author":"C.K.I. Williams","year":"2001","unstructured":"Williams, C.K.I., Seeger, M.: Using the Nystr\u00f6m method to speed up kernel machines. In: Leen, T.K., Diettrich, T.G., Tresp, V. (eds.) Advances in Neural Information Processing Systems, vol.\u00a013. MIT Press, Cambridge (2001)"}],"container-title":["Lecture Notes in Computer Science","Deterministic and Statistical Methods in Machine Learning"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11559887_7.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T22:42:14Z","timestamp":1736030534000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11559887_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540290735","9783540317289"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/11559887_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005]]}}}