{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T19:44:47Z","timestamp":1725565487508},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540221449"},{"type":"electronic","value":"9783540259664"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004]]},"DOI":"10.1007\/978-3-540-25966-4_6","type":"book-chapter","created":{"date-parts":[[2010,9,11]],"date-time":"2010-09-11T01:54:01Z","timestamp":1284170041000},"page":"62-71","source":"Crossref","is-referenced-by-count":4,"title":["Beyond Boosting: Recursive ECOC Learning Machines"],"prefix":"10.1007","author":[{"given":"Elizabeth","family":"Tapia","sequence":"first","affiliation":[]},{"given":"Jos\u00e9 C.","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"H\u00fctermann","sequence":"additional","affiliation":[]},{"given":"Javier","family":"Garc\u00eda","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"6_CR1","series-title":"Lecture Notes in Artificial Intelligence","first-page":"96","volume-title":"Progress in Artificial Intelligence. Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving","author":"E. Tapia","year":"2001","unstructured":"Tapia, E., Gonz\u00e1lez, J.C., Garc\u00eda Villalba, J., Villena, J.: Recursive Adaptive ECOC models. In: Brazdil, P.B., Jorge, A.M. (eds.) EPIA 2001. LNCS (LNAI), vol.\u00a02258, p. 96. Springer, Heidelberg (2001)"},{"key":"6_CR2","first-page":"572","volume-title":"Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI 1991)","author":"T. Dietterich","year":"1991","unstructured":"Dietterich, T., Bakiri, G.: Error-correcting output codes: A general method for improving multiclass inductive learning programs. In: Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI 1991), pp. 572\u2013577. AAAI Press, Anaheim (1991)"},{"key":"6_CR3","first-page":"35","volume-title":"Proceedings COLT 2000","author":"K. Crammer","year":"2000","unstructured":"Crammer, K., Singer, Y.: On the Learnability and Design of Output Codes for Multiclass Problems. In: Cesa-Bianchi, N., Goldman, S.A. (eds.) Proceedings COLT 2000, pp. 35\u201346. Morgan Kaufmann, Palo Alto (2000)"},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1162\/15324430152733133","volume":"1","author":"E. Allwein","year":"2000","unstructured":"Allwein, E., Schapire, R., Singer, Y.: Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers. Journal of Machine Learning Research\u00a01, 113\u2013141 (2000)","journal-title":"Journal of Machine Learning Research"},{"key":"6_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44938-8_16","volume-title":"Multiple Classifier Systems","author":"E. Tapia","year":"2003","unstructured":"Tapia, E., Gonz\u00e1lez, J.C., Garc\u00eda, J.: Good Error Correcting Output Codes For Adaptive Multiclass Learning. In: Windeatt, T., Roli, F. (eds.) MCS 2003. LNCS, vol.\u00a02709, Springer, Heidelberg (2003)"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1109\/TIT.1981.1056404","volume":"27","author":"M. Tanner","year":"1981","unstructured":"Tanner, M.: A recursive approach to Low Complexity Error Correcting Codes. IEEE Trans. Inf. Theory\u00a027, 533\u2013547 (1981)","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"2","key":"6_CR7","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1109\/49.661110","volume":"16","author":"F. Kschischang","year":"1998","unstructured":"Kschischang, F., Frey, B.: Iterative decoding of compound codes by probability propagation in graphical models. IEEE Journal on Sel. Areas in Communications\u00a016(2), 219\u2013230 (1998)","journal-title":"IEEE Journal on Sel. Areas in Communications"},{"key":"6_CR8","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4347.001.0001","volume-title":"Low Density Parity-Check Codes","author":"R.G. Gallager","year":"1963","unstructured":"Gallager, R.G.: Low Density Parity-Check Codes. M.I.T. Press, Cambridge (1963)"},{"key":"6_CR9","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1109\/18.748992","volume":"45","author":"D.J. MacKay","year":"1999","unstructured":"MacKay, D.J.: Good Error Correcting Codes based on Very Sparse Matrices. IEEE Trans. Inf. Theory\u00a045, 399\u2013431 (1999)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Guruswami, V., Sahai, A.: Multiclass Learning, Boosting, and Error-Correcting Codes. In: Proceedings COLT 1999, Santa Cruz, CA, USA, pp. 145\u2013155 (1999)","DOI":"10.1145\/307400.307429"},{"key":"6_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/3-540-48219-9_16","volume-title":"Multiple Classifier Systems","author":"F. Masulli","year":"2001","unstructured":"Masulli, F., Valentini, G.: Dependence among Codeword Bits Error in ECOC Learning: An Experimental Analysis. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol.\u00a02096, p. 158. Springer, Heidelberg (2001)"},{"issue":"3","key":"6_CR12","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1023\/A:1007614523901","volume":"37","author":"R.E. Schapire","year":"1999","unstructured":"Schapire, R.E., Singer, Y.: Improved Boosting Algorithms Using Confidence - rated Predictions. Machine Learning\u00a037(3), 277\u2013296 (1999)","journal-title":"Machine Learning"},{"key":"6_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/3-540-48219-9_3","volume-title":"Multiple Classifier Systems","author":"E. Tapia","year":"2001","unstructured":"Tapia, E., Gonz\u00e1lez, J.C., Garc\u00eda-Villalba, J.: A Generalized Class of Boosting Algorithms based on Recursive Error Correcting Codes. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol.\u00a02096, p. 22. Springer, Heidelberg (2001)"},{"key":"6_CR14","volume-title":"Data Mining, Practical Machine Learning Tools and Techniques with JAVA Implementations","author":"I. Witten","year":"2000","unstructured":"Witten, I., Frank, E.: Data Mining, Practical Machine Learning Tools and Techniques with JAVA Implementations. Morgan Kaufmann Publishers, San Francisco (2000)"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1162\/153244302320884605","volume":"2","author":"J. Furkranz","year":"2002","unstructured":"Furkranz, J.: Round Robin Classification. Journal of Machine Learning Research\u00a02, 721\u2013747 (2002)","journal-title":"Journal of Machine Learning Research"},{"key":"6_CR16","unstructured":"Rifkin, R.: Everything Old is New Again: A Fresh Look at the Historical Approaches in Machine Learning. Ph.D. Thesis. Massachusetts Institute of Technology (2002)"}],"container-title":["Lecture Notes in Computer Science","Multiple Classifier Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-25966-4_6.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,19]],"date-time":"2020-11-19T05:00:50Z","timestamp":1605762050000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-25966-4_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004]]},"ISBN":["9783540221449","9783540259664"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-25966-4_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2004]]}}}