{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T23:42:13Z","timestamp":1725493333812},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540001881"},{"type":"electronic","value":"9783540361824"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002]]},"DOI":"10.1007\/3-540-36182-0_12","type":"book-chapter","created":{"date-parts":[[2007,10,27]],"date-time":"2007-10-27T13:10:33Z","timestamp":1193490633000},"page":"113-126","source":"Crossref","is-referenced-by-count":1,"title":["Model Complexity and Algorithm Selection in Classification"],"prefix":"10.1007","author":[{"given":"Melanie","family":"Hilario","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2002,11,8]]},"reference":[{"key":"12_CR1","series-title":"Technical Report","volume-title":"GAL: Networks that grow when they learn and shrink when they forget","author":"E. Alpaydin","year":"1991","unstructured":"E. Alpaydin. GAL: Networks that grow when they learn and shrink when they forget. Technical Report TR-91-032, International Computer Science Institute, Berkeley, May 1991."},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"C. M. Bishop. Neural Networks for Pattern Recognition. Oxford University Press, 1995.","DOI":"10.1201\/9781420050646.ptb6"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"W. W. Cohen. Fast effective rule induction. In Proc. 11th International Conference on Machine Learning, pages 115\u2013123, 1995.","DOI":"10.1016\/B978-1-55860-377-6.50023-2"},{"key":"12_CR4","unstructured":"T. G. Dietterich. Statistical tests for comparaing supervised classification learning algorithms. Technical report, DCS, Oregon State University, 1996."},{"key":"12_CR5","unstructured":"S. E. Fahlman and C. Lebiere. The Cascade-Correlation learning architecture. Technical Report CMU-CS-90-100, Carnegie Mellon University, 1990."},{"key":"12_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S1088-467X(99)00002-5","volume":"3","author":"J. Gama","year":"1999","unstructured":"J. Gama and P. Brazdil. Linear tree. Intelligent Data Analysis, 3:1\u201322, 1999.","journal-title":"Intelligent Data Analysis"},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1023\/A:1007631014630","volume":"38","author":"D. D. Jensen","year":"2000","unstructured":"D. D. Jensen and P. R. Cohen. Multiple comparisons in induction algorithms. Machine Learning, 38(309\u2013338), 2000.","journal-title":"Machine Learning"},{"key":"12_CR8","unstructured":"R. Kohavi, G. John, R. Long, D. Manley, and K. Pfleger. MLC++: A machine learning library in C++. Technical report, CSD, Stanford University, 1994."},{"key":"12_CR9","first-page":"598","volume":"2","author":"Y. LeCun","year":"1990","unstructured":"Yann LeCun, J. S. Denker, and S. A. Solla. Optimal brain damage. In Advances in Neural Information Processing,2, pages 598\u2013605, 1990.","journal-title":"Advances in Neural Information Processing"},{"key":"12_CR10","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1023\/A:1007608224229","volume":"40","author":"T. Lim","year":"2000","unstructured":"T. Lim, W. Loh, and Y. Shih. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, 40:35\u201375, 2000.","journal-title":"Machine Learning"},{"key":"12_CR11","unstructured":"MetaL Consortium. Project Homepage. http:\/\/www.metal-kdd.org\/ ."},{"key":"12_CR12","unstructured":"D. Michie, D. J. Spiegelhalter, and C. C. Taylor, editors. Machine learning,neural and statistical classification. Ellis-Horwood, 1994."},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"M. C. Mozer and P. Smolensky. Skeletonization: a technique for trimming the fat from a network via relevance assessment. In D. S. Touretzky, editor, Advances in Neural Information Processing,1, pages 107\u2013116, San Mateo, CA, 1989. Morgan Kaufmann.","DOI":"10.1080\/09540098908915626"},{"key":"12_CR14","unstructured":"G. Nakhaeizadeh and A. Schnabl. Development of multi-criteria metrics for evaluation of data mining algorithms. In Proc. Third Intl. Conf. on Knowledge Discovery and Data Mining, pages 37\u201342, 1997."},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"B. D. Ripley. Statistical ideas for selecting network architectures. In B. Kappen and S. Gielen, editors, Neural Networks: Artificial Intelligence and Industrial Applications, pages 183\u2013190, London, 1995. Springer.","DOI":"10.1007\/978-1-4471-3087-1_36"},{"key":"12_CR16","unstructured":"T. L. Saaty. Fundamentals of Decision Making and Priority Theory. RWS Publications, 1994."},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"V. Vapnik. The Nature of Statistical Learning Theory. Springer, 1995.","DOI":"10.1007\/978-1-4757-2440-0"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-36182-0_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,3]],"date-time":"2019-05-03T22:13:05Z","timestamp":1556921585000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-36182-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002]]},"ISBN":["9783540001881","9783540361824"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/3-540-36182-0_12","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2002]]}}}