{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T07:28:33Z","timestamp":1773991713517,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783662444146","type":"print"},{"value":"9783662444153","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-662-44415-3_30","type":"book-chapter","created":{"date-parts":[[2014,8,13]],"date-time":"2014-08-13T04:40:31Z","timestamp":1407904831000},"page":"291-300","source":"Crossref","is-referenced-by-count":14,"title":["On Cross-Validation for MLP Model Evaluation"],"prefix":"10.1007","author":[{"given":"Tommi","family":"K\u00e4rkk\u00e4inen","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"30_CR1","first-page":"111","volume":"190","author":"A. Elisseeff","year":"2003","unstructured":"Elisseeff, A., Pontil, M.: Leave-one-out error and stability of learning algorithms with applications. NATO Science Series, Sub Series III: Computer and Systems Sciences\u00a0190, 111\u2013130 (2003)","journal-title":"NATO Science Series, Sub Series III: Computer and Systems Sciences"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Pinkus, A.: Approximation theory of the MLP model in neural networks. Acta Numerica, 143\u2013195 (1999)","DOI":"10.1017\/S0962492900002919"},{"key":"30_CR3","unstructured":"Kohavi, R.: Study of cross-validation and bootstrap for accuracy estimation and model selection. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 1995), pp. 1137\u20131143 (1995)"},{"key":"30_CR4","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I.H. Witten","year":"2011","unstructured":"Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann, Burlington (2011)","edition":"3"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"2976","DOI":"10.1016\/j.csda.2010.03.004","volume":"54","author":"S. Borra","year":"2010","unstructured":"Borra, S., Ciaccio, A.D.: Measuring the prediction error. a comparison of cross-validation, bootstrap and covariance penalty methods. Computational Statistics and Data Analysis\u00a054, 2976\u20132989 (2010)","journal-title":"Computational Statistics and Data Analysis"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Davison, A.C., Hinkley, D.V.: Bootstrap Methods and their Applications. Cambridge Series on Statistical and Probabilistic Mathematics. Cambridge University Press (1997)","DOI":"10.1017\/CBO9780511802843"},{"issue":"6","key":"30_CR7","doi-asserted-by":"publisher","first-page":"2350","DOI":"10.1214\/aos\/1032181158","volume":"24","author":"L. Breiman","year":"1996","unstructured":"Breiman, L.: Heuristics of instability and stabilization in model selection. The Annals of Statistics\u00a024(6), 2350\u20132383 (1996)","journal-title":"The Annals of Statistics"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Andersen, T., Martinez, T.: Cross validation and MLP architecture selection. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 1999), pp. 1614\u20131619 (1999)","DOI":"10.1109\/IJCNN.1999.832613"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Last, M.: The uncertainty principle of cross-validation. In: Proceedings of the IEEE International Conference on Granular Computing (GrC 2006), pp. 275\u2013280 (2006)","DOI":"10.1109\/GRC.2006.1635796"},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1214\/09-SS054","volume":"4","author":"S. Arlot","year":"2010","unstructured":"Arlot, S., Celisse, A.: A survey of cross-validation procedures for model selection. Statistics Surveys\u00a04, 40\u201379 (2010)","journal-title":"Statistics Surveys"},{"issue":"8","key":"30_CR11","doi-asserted-by":"publisher","first-page":"1304","DOI":"10.1109\/TNNLS.2012.2199516","volume":"23","author":"J.G. Moreno-Torres","year":"2012","unstructured":"Moreno-Torres, J.G., S\u00e1ez, J.A., Herrera, F.: Study on the impact of partition-induced dataset shift on k-fold cross-validation. IEEE Transactions on Neural Networks and Learning Systems\u00a023(8), 1304\u20131312 (2012)","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"1451","DOI":"10.1162\/089976602753713016","volume":"14","author":"T. K\u00e4rkk\u00e4inen","year":"2002","unstructured":"K\u00e4rkk\u00e4inen, T.: MLP in layer-wise form with applications to weight decay. Neural Computation\u00a014, 1451\u20131480 (2002)","journal-title":"Neural Computation"},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2013.09.038","volume":"257","author":"V. L\u00f3pez","year":"2014","unstructured":"L\u00f3pez, V., Fern\u00e1ndez, A., Herrera, F.: On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed. Information Sciences\u00a0257, 1\u201313 (2014)","journal-title":"Information Sciences"}],"container-title":["Lecture Notes in Computer Science","Structural, Syntactic, and Statistical Pattern Recognition"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-44415-3_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T04:56:13Z","timestamp":1746334573000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-662-44415-3_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783662444146","9783662444153"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-44415-3_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}