{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T22:31:34Z","timestamp":1725489094497},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642352881"},{"type":"electronic","value":"9783642352898"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-35289-8_7","type":"book-chapter","created":{"date-parts":[[2012,11,14]],"date-time":"2012-11-14T07:03:17Z","timestamp":1352876597000},"page":"91-110","source":"Crossref","is-referenced-by-count":1,"title":["Controlling the Hyperparameter Search in MacKay\u2019s Bayesian Neural Network Framework"],"prefix":"10.1007","author":[{"given":"Tony","family":"Plate","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"7_CR1","doi-asserted-by":"crossref","unstructured":"Bishop, C.: Neural Networks for Pattern Recognition. Oxford University Press (1995)","DOI":"10.1201\/9781420050646.ptb6"},{"issue":"3","key":"7_CR2","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1109\/72.286919","volume":"5","author":"W.L. Buntine","year":"1994","unstructured":"Buntine, W.L., Weigend, A.S.: Computing second derivatives in feed-forward networks: A review. IEEE Transactions on Neural Networks\u00a05(3), 480\u2013488 (1994)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"7_CR3","volume-title":"Generalized additive models","author":"T.J. Hastie","year":"1990","unstructured":"Hastie, T.J., Tibshirani, R.J.: Generalized additive models. Chapman and Hall, London (1990)"},{"issue":"3","key":"7_CR4","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/72.286906","volume":"5","author":"J.N. Hwang","year":"1994","unstructured":"Hwang, J.N., Lay, S.-R., Maechler, M., Martin, R.D., Schimert, J.: Regression modeling in back-propagation and projection pursuit learning. IEEE Transactions on Neural Networks\u00a05(3), 342\u2013353 (1994)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"3","key":"7_CR5","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":"MacKay, D.J.C.: A practical Bayesian framework for backpropagation networks. Neural Computation\u00a04(3), 448\u2013472 (1992)","journal-title":"Neural Computation"},{"key":"7_CR6","unstructured":"MacKay, D.J.C.: Bayesian methods for backpropagation networks. In: Domany, E., van Hemmen, J.L., Schulten, K. (eds.) Models of Neural Networks III, ch. 6, Springer, New York (1994)"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1088\/0954-898X_6_3_011","volume":"6","author":"D.J.C. MacKay","year":"1995","unstructured":"MacKay, D.J.C.: Probable networks and plausible predictions - a review of practical Bayesian methods for supervised neural networks. Network: Computation in Neural Systems\u00a06, 469\u2013505 (1995)","journal-title":"Network: Computation in Neural Systems"},{"key":"7_CR8","first-page":"221","volume-title":"Maximum Entropy and Bayesian Methods, Santa Barbara 1993","author":"D.J.C. MacKay","year":"1996","unstructured":"MacKay, D.J.C.: Bayesian non-linear modelling for the 1993 energy prediction competition. In: Heidbreder, G. (ed.) Maximum Entropy and Bayesian Methods, Santa Barbara 1993, pp. 221\u2013234. Kluwer, Dordrecht (1996)"},{"key":"7_CR9","unstructured":"Neal, R.M.: Monte carlo implementation of gaussian process models for bayesian regression and classification. Technical Report TR9702, Dept. of Statistics, University of Toronto (1997), Software, \n                    \n                      http:\/\/www.cs.utoronto.ca\/~radford\/"},{"key":"7_CR10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0745-0","volume-title":"Bayesian Learning for Neural Networks","author":"R.M. Neal","year":"1996","unstructured":"Neal, R.M.: Bayesian Learning for Neural Networks. Springer, New York (1996)"},{"key":"7_CR11","unstructured":"Plate, T., Bert, J., Grace, J., Band, P.: A comparison between neural networks and other statistical techniques for modeling the relationship between tobacco and alcohol and cancer. In: Mozer, M.C., Jordan, M.I., Petsche, T. (eds.) Advances in Neural Information Processing 9 (NIPS 1996). MIT Press (1997)"},{"key":"7_CR12","unstructured":"Roosen, C., Hastie, T.: Logistic response projection pursuit. Technical report, AT&T Bell Laboratories (1993)"},{"issue":"1","key":"7_CR13","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/72.478392","volume":"7","author":"H.H. Thodberg","year":"1996","unstructured":"Thodberg, H.H.: A review of bayesian neural networks with an application to near infrared spectroscopy. IEEE Transactions on Neural Networks\u00a07(1), 56\u201372 (1996)","journal-title":"IEEE Transactions on Neural Networks"}],"container-title":["Lecture Notes in Computer Science","Neural Networks: Tricks of the Trade"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-35289-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,8]],"date-time":"2019-05-08T18:48:19Z","timestamp":1557341299000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-35289-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642352881","9783642352898"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-35289-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}