{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T05:09:01Z","timestamp":1740373741426,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540283232"},{"type":"electronic","value":"9783540318538"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11539087_69","type":"book-chapter","created":{"date-parts":[[2010,7,20]],"date-time":"2010-07-20T22:26:10Z","timestamp":1279664770000},"page":"536-545","source":"Crossref","is-referenced-by-count":0,"title":["A Prediction Interval Estimation Method for KMSE"],"prefix":"10.1007","author":[{"given":"Changha","family":"Hwang","sequence":"first","affiliation":[]},{"given":"Kyung Ha","family":"Seok","sequence":"additional","affiliation":[]},{"given":"Daehyeon","family":"Cho","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"69_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1109\/72.478409","volume":"7","author":"G. Chryssolouris","year":"1996","unstructured":"Chryssolouris, G., Lee, M., Ramsey, A.: Confidence interval prediction for neural network models. IEEE Trans. Neural Networks\u00a07, 229\u2013232 (1996)","journal-title":"IEEE Trans. Neural Networks"},{"key":"69_CR2","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1016\/0098-1354(93)80066-V","volume":"17","author":"R.D. Veaux De","year":"1993","unstructured":"De Veaux, R.D., Psichogios, D.C., Ungar, L.H.: A comparison of two nonparametric estimation schemes: MARS and neural networks. Computers in Chemical Engineering\u00a017, 819\u2013837 (1993)","journal-title":"Computers in Chemical Engineering"},{"key":"69_CR3","doi-asserted-by":"publisher","first-page":"273","DOI":"10.2307\/1270528","volume":"40","author":"R.D. Veaux De","year":"1998","unstructured":"De Veaux, R.D., Schumi, J., Schweinsberg, J., Ungar, L.H.: Prediction interval for neural networks via nonlinear regression. Technometrics\u00a040, 273\u2013282 (1998)","journal-title":"Technometrics"},{"key":"69_CR4","first-page":"41","volume-title":"Neural Networks for Signal Processing","author":"S. Mika","year":"1999","unstructured":"Mika, S., Ratsch, G., Weston, J., Scholkopf, B., Muller, K.-R.: Fisher discriminant analysis with kernels. In: Neural Networks for Signal Processing, vol.\u00a0IX, pp. 41\u201348. IEEE press, New York (1999)"},{"key":"69_CR5","unstructured":"Saunders, C., Gammerman, A., Vork, V.: Ridge regression learning algorithm in dual variable. In: Proceedings of the 15th International Conference on Machine Learning, pp. 515\u2013521 (1998)"},{"key":"69_CR6","doi-asserted-by":"publisher","first-page":"1887","DOI":"10.1081\/STA-120014918","volume":"31","author":"K. Seok","year":"2002","unstructured":"Seok, K., Hwang, C., Cho, D.: Prediction intervals for support vector machine regression. Communications in Statistics: Theory and Methods\u00a031, 1887\u20131898 (2002)","journal-title":"Communications in Statistics: Theory and Methods"},{"issue":"suppl.","key":"69_CR7","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1016\/S0098-1354(97)87661-2","volume":"21","author":"R. Shao","year":"1997","unstructured":"Shao, R., Martin, E.B., Zhang, J., Morris, A.J.: Connfidence bounds for neural network representations. Computers Chem. Engng.\u00a021(suppl.), S1173\u2013S1178 (1997)","journal-title":"Computers Chem. Engng."},{"key":"69_CR8","unstructured":"Suykens, J.A.K., Lukas, L., Van Dooren, P., De Moor, B., Vandewalle, J.: Least squares support vector machine classifiers: a large scale algorithm. In: European Conference on Circuit Theory and Design, ECCTD 1999, Stresa Italy, August 1999, pp. 839\u2013842 (1999)"},{"key":"69_CR9","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1023\/A:1018628609742","volume":"9","author":"J.A.K. Suykens","year":"1998","unstructured":"Suykens, J.A.K., Vandewalle, J.: Least squares support vector machine classifiers. Neural Processing Letters\u00a09, 293\u2013300 (1998)","journal-title":"Neural Processing Letters"},{"key":"69_CR10","doi-asserted-by":"publisher","DOI":"10.1142\/9789812776655","volume-title":"Least Squares Support Vector Machines","author":"J.A.K. Suykens","year":"2002","unstructured":"Suykens, J.A.K., Van Gestel, T., De Brabanter, J.D., De Moor, B., Vandewalle, J.: Least Squares Support Vector Machines. World Scientific, Singapore (2002)"},{"key":"69_CR11","volume-title":"Statistical Learning Theory","author":"V. Vapnik","year":"1998","unstructured":"Vapnik, V.: Statistical Learning Theory. Springer, New York (1998)"},{"key":"69_CR12","doi-asserted-by":"crossref","unstructured":"Xu, J., Zhang, X., Li, Y.: Kernel MSE algorithm: A unified framework for KFD, LS-SVM. In: Proceedings of IJCNN 2001, vol.\u00a02, pp. 1486\u20131491 (2001)","DOI":"10.1109\/IJCNN.2001.939584"},{"key":"69_CR13","unstructured":"Yang, L., Kavli, T., Carlin, M., Clausen, S., de Groot, P.F.M.: An evaluation of confidence bound estimation methods for neural networks. In: Proceeding of ESIT, pp. 322\u2013329 (2000)"}],"container-title":["Lecture Notes in Computer Science","Advances in Natural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11539087_69.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T05:09:20Z","timestamp":1740287360000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11539087_69"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540283232","9783540318538"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/11539087_69","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}