{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T15:50:58Z","timestamp":1762271458488},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2010,5,27]],"date-time":"2010-05-27T00:00:00Z","timestamp":1274918400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Minds & Machines"],"published-print":{"date-parts":[[2010,7]]},"DOI":"10.1007\/s11023-010-9191-1","type":"journal-article","created":{"date-parts":[[2010,5,26]],"date-time":"2010-05-26T13:04:06Z","timestamp":1274879046000},"page":"291-301","source":"Crossref","is-referenced-by-count":10,"title":["Varieties of Justification in Machine Learning"],"prefix":"10.1007","volume":"20","author":[{"given":"David","family":"Corfield","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,5,27]]},"reference":[{"key":"9191_CR1","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1214\/088342306000000475","volume":"21","author":"P. Bartlett","year":"2006","unstructured":"Bartlett, P., Jordan, M., & McAuliffe, J. (2006). Comment on support vector machines with applications. Statistical Science, 21, 341\u2013346.","journal-title":"Statistical Science"},{"issue":"1","key":"9191_CR3","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10838-009-9091-3","volume":"40","author":"D. Corfield","year":"2009","unstructured":"Corfield, D., Sch\u00f6lkopf, B., & Vapnik, V. (2009). Falsificationism and statistical learning theory: Comparing the Popper and Vapnik-Chervonenkis dimensions. Journal for General Philosophy of Science, 40(1), 51\u201358.","journal-title":"Journal for General Philosophy of Science"},{"key":"9191_CR4","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4643.001.0001","volume-title":"The minimum description length principle","author":"P. Gr\u00fcnwald","year":"2007","unstructured":"Gr\u00fcnwald, P. (2007). The minimum description length principle. Cambridge: MIT Press."},{"key":"9191_CR6","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/5876.001.0001","volume-title":"Reliable reasoning: Induction and statistical learning theory","author":"G. Harman","year":"2007","unstructured":"Harman, G., & Kulkarni, S. (2007). Reliable reasoning: Induction and statistical learning theory. Cambridge: MIT Press."},{"key":"9191_CR5","volume-title":"Predicting structured data","author":"Y LeCun","year":"2006","unstructured":"LeCun, Y., Chopra, S., Hadsell, R., Ranzato, M., & Huang, F. (2006). A tutorial on energy-based learning. In G. Bakir, T. Hofman, B. Sch\u00f6lkopf, A. Smola & B. Taskar (Eds.), Predicting structured data. Cambridge: MIT Press."},{"key":"9191_CR7","unstructured":"Minka, T. (2001). Empirical risk minimization is an incomplete inductive principle. http:\/\/www.research.microsoft.com\/~minka\/papers\/minka-erm.pdf ."},{"key":"9191_CR8","volume-title":"Gaussian processes for machine learning","author":"C. Rasmussen","year":"2006","unstructured":"Rasmussen, C., & Williams, C. (2006). Gaussian processes for machine learning. Cambridge: MIT Press."},{"key":"9191_CR9","volume-title":"Kernel methods in computational biology","year":"2004","unstructured":"Sch\u00f6lkopf, B., Tsuda, K., & Vert, J.-P. (eds.) (2004). Kernel methods in computational biology. Cambridge: MIT Press."},{"key":"9191_CR10","unstructured":"Seeger, M. (2003). Bayesian Gaussian process models: PAC-Bayesian generalisation error bounds and sparse approximations. Dissertation, University of Edinburgh."},{"key":"9191_CR11","unstructured":"Snoussi, H., & Mohammad-Djafari, A. (2002). Information geometry and Prior Selection. In C. J. Williams (Ed.), Proceedings of 22nd international workshop on Bayesian inference and maximum entropy methods in science and engineering (MaxEnt\u201902), pp. 307\u2013327, Moscow, Idaho, USA, August 2002."},{"key":"9191_CR12","volume-title":"Statistical learning theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V. (1998). Statistical learning theory. New York: Wiley."},{"key":"9191_CR13","unstructured":"Williamson, J. (2007). \u2018Philosophies of probability: Objective bayesianism and its challenges. In A. Irvine (Ed.), Handbook of the philosophy of mathematics. Elsevier, Amsterdam. Handbook of the Philosophy of Science volume 4."}],"container-title":["Minds and Machines"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11023-010-9191-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11023-010-9191-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11023-010-9191-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T02:48:12Z","timestamp":1559357292000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11023-010-9191-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,5,27]]},"references-count":12,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2010,7]]}},"alternative-id":["9191"],"URL":"https:\/\/doi.org\/10.1007\/s11023-010-9191-1","relation":{},"ISSN":["0924-6495","1572-8641"],"issn-type":[{"value":"0924-6495","type":"print"},{"value":"1572-8641","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,5,27]]}}}