{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:20:04Z","timestamp":1740028804024,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540442653"},{"type":"electronic","value":"9783540458081"}],"license":[{"start":{"date-parts":[[2002,1,1]],"date-time":"2002-01-01T00:00:00Z","timestamp":1009843200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-45808-5_22","type":"book-chapter","created":{"date-parts":[[2010,3,29]],"date-time":"2010-03-29T21:55:20Z","timestamp":1269899720000},"page":"216-232","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space"],"prefix":"10.1007","author":[{"given":"A.","family":"Eleuteri","sequence":"first","affiliation":[]},{"given":"R.","family":"Tagliaferri","sequence":"additional","affiliation":[]},{"given":"L.","family":"Milano","sequence":"additional","affiliation":[]},{"given":"F.","family":"Acernese","sequence":"additional","affiliation":[]},{"given":"M.","family":"De Laurentiis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2002,9,26]]},"reference":[{"issue":"6","key":"22_CR1","first-page":"603","volume":"5","author":"W. L. Buntine","year":"1991","unstructured":"W. L. Buntine, A. S. Weigend. Bayesian back-propagation. Complex Systems 5(6) (1991) 603\u2013643","journal-title":"Complex Systems"},{"key":"22_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4612-0745-0","volume-title":"Bayesian Learning for Neural Networks","author":"R.M. Neal","year":"1996","unstructured":"R.M. Neal. Bayesian Learning for Neural Networks. Springer, New York (1996)"},{"issue":"3","key":"22_CR3","doi-asserted-by":"publisher","first-page":"448","DOI":"10.1162\/neco.1992.4.3.448","volume":"4","author":"D. J. C. MacKay","year":"1992","unstructured":"D. J. C. MacKay. A practical Bayesian framework for backpropagation networks. Neural Computation 4(3) (1992) 448\u2013472","journal-title":"Neural Computation"},{"key":"22_CR4","volume-title":"The Bayesian Choice","author":"C. P. Robert","year":"2001","unstructured":"C. P. Robert. The Bayesian Choice, Second Edition. Springer, New York (2001)","edition":"Second Edition"},{"key":"22_CR5","volume-title":"Markov Chain Monte Carlo Methods","author":"C. P. Robert","year":"1999","unstructured":"C. P. Robert, G. Casella. Markov Chain Monte Carlo Methods. Springer, New York (1999)"},{"key":"22_CR6","volume-title":"Neural Networks for Pattern Recognition","author":"C. M. Bishop","year":"1996","unstructured":"C. M. Bishop. Neural Networks for Pattern Recognition. Clarendon Press, Oxford (1996)"},{"key":"22_CR7","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1214\/ss\/1177011136","volume":"7","author":"A. Gelman","year":"1992","unstructured":"A. Gelman, D.B. Rubin. Inference from iterative simulation using multiple sequences (with discussion). Statist. sci. 7 (1992) 457\u2013511","journal-title":"Statist. sci."},{"key":"22_CR8","unstructured":"D.H. Wolpert, W. G. Macready. No free lunch theorems for search. Technical Report SFI-TR-95-02-010, The Santa Fe Institute (1995)"},{"issue":"3","key":"22_CR9","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1111\/j.2517-6161.1969.tb00767.x","volume":"49","author":"A. M. Walker","year":"1969","unstructured":"A. M. Walker. On the asymptotic behaviour of posterior distributions. Journal of the Royal Statistical Society B 49(3) (1969) 80\u201388","journal-title":"Journal of the Royal Statistical Society B"},{"key":"22_CR10","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4471-3267-7","volume-title":"Markov Chains and Stochastic Stability","author":"S. P. Meyn","year":"1993","unstructured":"S. P. Meyn, R. L. Tweedie. Markov Chains and Stochastic Stability. Springer-Verlag, London (1993)"},{"issue":"2","key":"22_CR11","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/0370-2693(87)91197-X","volume":"195","author":"S. Duane","year":"1987","unstructured":"S. Duane, A.D. Kennedy, B. J. Pendleton, D. Roweth. Hybrid Monte Carlo. Physics Letters B 195(2) (1987) 216\u2013222","journal-title":"Physics Letters B"},{"key":"22_CR12","unstructured":"F. E. Harrell jr. Survival and Risk Analysis-Technical Report. Duke University Medical Center (1993)"},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1002\/sim.4780131202","volume":"13","author":"K. Liest\u00f8l","year":"1994","unstructured":"K. Liest\u00f8l, P. K. Andersen, U. Andersen. Survival analysis and neural nets. Statistics in medicine 13 (1994) 1189\u20131200","journal-title":"Statistics in medicine"},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1002\/sim.4780140108","volume":"14","author":"D. Faraggi","year":"1995","unstructured":"D. Faraggi, R. Simon. A neural network model for survival data. Statistics in medicine 14 (1995) 73\u201382","journal-title":"Statistics in medicine"},{"issue":"4","key":"22_CR15","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1002\/(SICI)1097-0142(19970215)79:4<857::AID-CNCR24>3.0.CO;2-Y","volume":"79","author":"H. B. Burke","year":"1997","unstructured":"H. B. Burke et al. Artificial Neural Networks Improve the Accuracy of Cancer Survival Prediction. Cancer 79(4) (1997) 857\u2013862","journal-title":"Cancer"},{"key":"22_CR16","unstructured":"B. D. Ripley, R. M. Ripley. Neural Networks as Statistical Methods in Survival Analysis. Artificial Neural Networks: Prospects for Medicine (R. Dybowsky and V. Gant eds.), Landes Biosciences Publishers (1998)"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"B. Bakker, T. Heskes. A neural-Bayesian approach to survival analysis. Proceedings IEE Artificial Neural Networks (1999) 832\u2013837","DOI":"10.1049\/cp:19991215"},{"key":"22_CR18","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/(SICI)1097-0258(20000229)19:4<541::AID-SIM355>3.0.CO;2-V","volume":"19","author":"G. Schwarzer","year":"2000","unstructured":"G. Schwarzer, W. Vach, M. Schumacher. On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Statistics in medicine 19 (2000) 541\u2013561","journal-title":"Statistics in medicine"},{"key":"22_CR19","doi-asserted-by":"crossref","unstructured":"P. J. G. Lisboa, H. Wong. Are neural networks best used to help logistic regression? An example from breast cancer survival analysis. IEEE Transactions on Neural Networks (2001) 2472\u20132477","DOI":"10.1109\/IJCNN.2001.938755"},{"key":"22_CR20","doi-asserted-by":"crossref","unstructured":"H. Wong, P. Harris, P. J. G. Lisboa, S. P. J. Kirby, R. Swindell. Dealing with Censorship in Neural Network Models. IEEE Transactions on Neural Networks (1999) 3702\u20133706","DOI":"10.1109\/IJCNN.1999.836273"},{"key":"22_CR21","unstructured":"R. M. Neal. Survival Analysis Using a Bayesian Neural Network. Joint Statistical Meetings report, Atlanta (2001)"},{"key":"22_CR22","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/S0893-6080(01)00131-9","volume":"15","author":"E. Biganzoli","year":"2002","unstructured":"E. Biganzoli, P. Boracchi, E. Marubini. A general framework for neural network models on censored survival data. Neural Networks 15 (2002) 209\u2013218","journal-title":"Neural Networks"}],"container-title":["Lecture Notes in Computer Science","Neural Nets"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-45808-5_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:25:18Z","timestamp":1739993118000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-45808-5_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540442653","9783540458081"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/3-540-45808-5_22","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]},"assertion":[{"value":"26 September 2002","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}