{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T10:33:13Z","timestamp":1742380393419},"publisher-location":"Berlin, Heidelberg","reference-count":22,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540724810"},{"type":"electronic","value":"9783540725237"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-72523-7_18","type":"book-chapter","created":{"date-parts":[[2007,6,21]],"date-time":"2007-06-21T00:13:14Z","timestamp":1182384794000},"page":"171-179","source":"Crossref","is-referenced-by-count":6,"title":["Information Theoretic Combination of Classifiers with Application to AdaBoost"],"prefix":"10.1007","author":[{"given":"Julien","family":"Meynet","sequence":"first","affiliation":[]},{"given":"Jean-Philippe","family":"Thiran","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"18_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/3-540-45014-9_1","volume-title":"Multiple Classifier Systems","author":"T.G. Dietterich","year":"2000","unstructured":"Dietterich, T.G.: Ensemble methods in machine learning. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol.\u00a01857, pp. 1\u201315. Springer, Heidelberg (2000)"},{"key":"18_CR2","unstructured":"Freund, Y., Mansour, Y., Schapire, R.: Why averaging classifiers can protect against overfitting. In: Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics (2001)"},{"key":"18_CR3","doi-asserted-by":"crossref","DOI":"10.1002\/0471660264","volume-title":"Combining Pattern Classifiers Methods and Algorithms","author":"L.I. Kuncheva","year":"2004","unstructured":"Kuncheva, L.I.: Combining Pattern Classifiers Methods and Algorithms. John Wiley, New York (2004)"},{"issue":"3","key":"18_CR4","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/34.667881","volume":"20","author":"J. Kittler","year":"1998","unstructured":"Kittler, J., et al.: On combining classifiers. IEEE Trans. Pattern Anal. Mach. Intell.\u00a020(3), 226\u2013239 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"18_CR5","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1023\/A:1022859003006","volume":"51","author":"L. Kuncheva","year":"2003","unstructured":"Kuncheva, L., Whitaker, C.: Measures of diversity in classifier ensembles. Machine Learning\u00a051(2), 181\u2013207 (2003)","journal-title":"Machine Learning"},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1008143417156","volume":"26","author":"J.C. Principe","year":"2000","unstructured":"Principe, J.C., Xu, D., Fisher, J.W.: Learning from examples with information theoretic criteria. J. VLSI Signal Process. Syst.\u00a026, 61\u201377 (2000)","journal-title":"J. VLSI Signal Process. Syst."},{"key":"18_CR7","volume-title":"Transmission of Information: A Statistical Theory of Communication","author":"R.M. Fano","year":"1961","unstructured":"Fano, R.M.: Transmission of Information: A Statistical Theory of Communication. Wiley, Chichester (1961)"},{"key":"18_CR8","doi-asserted-by":"crossref","DOI":"10.1002\/0471200611","volume-title":"Elements of Information Theory","author":"T. Cover","year":"1991","unstructured":"Cover, T., Thomas, J.: Elements of Information Theory. John Wiley and Sons, Inc., New York (1991)"},{"key":"18_CR9","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1023\/B:VLSI.0000027493.48841.39","volume":"37","author":"D. Erdogmus","year":"2004","unstructured":"Erdogmus, D., Principe, J.C.: Lower and upper bounds for misclassification probability based on renyi\u2019s information. Journal of VLSI Signal Processing\u00a037, 305\u2013317 (2004)","journal-title":"Journal of VLSI Signal Processing"},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Fisher III., J., Principe, J.: A methodology for information theoretic feature extraction. In: IEEE International Conference on Neural Networks (IJCNN\u201998), vol.\u00a03, Anchorage, AK, pp. 1712\u20131716 (1998)","DOI":"10.1109\/IJCNN.1998.687114"},{"issue":"9","key":"18_CR11","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1109\/TPAMI.2006.186","volume":"28","author":"K.E. Hild II","year":"2006","unstructured":"Hild II, K.E., et al.: Feature extraction using information-theoretic learning. IEEE Trans. Pattern Anal. Mach. Intell.\u00a028(9), 1385\u20131392 (2006)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"18_CR12","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.sigpro.2004.11.027","volume":"85","author":"T. Butz","year":"2005","unstructured":"Butz, T., Thiran, J.-P.: From error probability to information theoretic (multi-modal) signal processing. Signal Processing\u00a085(5), 875\u2013902 (2005)","journal-title":"Signal Processing"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"937","DOI":"10.1109\/TNN.2004.828772","volume":"15","author":"V. Sindhwani","year":"2004","unstructured":"Sindhwani, V., et al.: Feature selection in mlps and svms based on maximum output information. IEEE Transactions On Neural Networks\u00a015, 937\u2013949 (2004)","journal-title":"IEEE Transactions On Neural Networks"},{"issue":"10","key":"18_CR14","doi-asserted-by":"publisher","first-page":"1517","DOI":"10.1016\/j.neunet.2006.01.019","volume":"19","author":"S. Raudys","year":"2006","unstructured":"Raudys, S.: Trainable fusion rules. II Small sample-size effects. Neural Networks\u00a019(10), 1517\u20131527 (2006)","journal-title":"Neural Networks"},{"issue":"1","key":"18_CR15","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y. Freund","year":"1997","unstructured":"Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci.\u00a055(1), 119\u2013139 (1997)","journal-title":"J. Comput. Syst. Sci."},{"key":"18_CR16","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1007\/BF00118940","volume":"43","author":"L. Shapley","year":"1984","unstructured":"Shapley, L., Grofman, B.: Optimizing group judgemental accuracy in the presence of interdependencies. Public Choice\u00a043, 329\u2013343 (1984)","journal-title":"Public Choice"},{"key":"18_CR17","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1093\/biomet\/2.2.121","volume":"2","author":"G. Yule","year":"1903","unstructured":"Yule, G.: On the association of attributes in statistics. Biometrika\u00a02, 121\u2013134 (1903)","journal-title":"Biometrika"},{"issue":"9-10","key":"18_CR18","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/S0262-8856(01)00045-2","volume":"19","author":"G. Giacinto","year":"2001","unstructured":"Giacinto, G., Roli, F.: Design of effective neural network ensembles for image classification purposes. Image Vision Comput.\u00a019(9-10), 9\u201310 (2001)","journal-title":"Image Vision Comput."},{"key":"18_CR19","unstructured":"Skalak, D.: The sources of increased accuracy for two proposed boosting algorithms. In: AAAI \u201996 Workshop on Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms (1996)"},{"issue":"1","key":"18_CR20","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.inffus.2004.04.004","volume":"6","author":"G. Brown","year":"2005","unstructured":"Brown, G., et al.: Diversity creation methods: A survey and categorisation. Journal of Information Fusion\u00a06(1), 5\u201320 (2005)","journal-title":"Journal of Information Fusion"},{"key":"18_CR21","unstructured":"Duin, R.P.W., et al.: Prtools4, a matlab toolbox for pattern recognition. Delft University of Technology (2004)"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Meynet, J., et al.: Combining svms for face class modeling. In: 13th European Signal Processing Conference - EUSIPCO, Antalya, Turkey (2005)","DOI":"10.1007\/978-3-540-30568-2_15"}],"container-title":["Lecture Notes in Computer Science","Multiple Classifier Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-72523-7_18.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T12:44:12Z","timestamp":1683895452000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-72523-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540724810","9783540725237"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-72523-7_18","relation":{},"subject":[]}}