clasificaci´on mediante conjuntos - Escuela Politécnica Superior
clasificaci´on mediante conjuntos - Escuela Politécnica Superior
clasificaci´on mediante conjuntos - Escuela Politécnica Superior
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154 BIBLIOGRAFÍA[Breiman, 1999] Leo Breiman. Pasting small votes for classification in large databases andon-line. Machine Learning, 36(1-2):85–103, 1999.[Breiman, 2000] Leo Breiman. Randomizing outputs to increase prediction accuracy. MachineLearning, 40(3):229–242, 2000.[Breiman, 2001] Leo Breiman. Random forests. Machine Learning, 45(1):5–32, 2001.[Bryll et al., 2003] Robert Bryll, Ricardo Gutierrez-Osuna, y Francis Quek. Attributebagging: improving accuracy of classifier ensembles by using random feature subsets.Pattern Recognition, 36(6):1291–1302, junio 2003.[Burges, 1998] Christopher J. C. Burges. A tutorial on support vector machines for patternrecognition. Data Mining and Knowledge Discovery, 2(2):121–167, 1998.[Cantador y Dorronsoro, 2004] I. Cantador y J. R. Dorronsoro. Parallel perceptrons andtraining set selection for imbalanced classification problems. En Proceedings of theLearning 04 International Conference, 2004.[Chan et al., 1999] P. K. Chan, W. Fan, Andreas L. Prodromidis, y Salvatore J. Stolfo.Distributed data mining in credit card fraud detection. IEEE Intelligent Systems andtheir Applications, 14(6):67–74, 1999.[Chang y Pavlidis, 1977] R. Chang y T. Pavlidis. Fuzzy decision tree algorithms. IEEETransactions on Systems, Man and Cybernetics, 7(1):28–35, 1977.[Chawla et al., 2004] Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, y W. PhilipKegelmeyer. Learning ensembles from bites: A scalable and accurate approach. Journalof Machine Learning Research, 5:421–451, 2004.[Christensen et al., 2003] Stefan W. Christensen, Ian Sinclair, y Philippa A. S. Reed. Designingcommittees of models through deliberate weighting of data points. Journal ofMachine Learning Research, 4:39–66, 2003.[De Stefano y Montesinos, 2000] L. De Stefano y S. Montesinos. Monitoring of GroundwaterExtraction. En Application of space Techniques to the Integrated Management ofriver basin Water Resources. Montesinos & Castaño (Eds.), 2000.[Demir y Alpaydin, 2005] Cigdem Demir y Ethem Alpaydin. Cost-conscious classifierensembles. Pattern Recognition Letters, 26(14):2206–2214, 2005.[Dietterich y Bakiri, 1995] Thomas G. Dietterich y Ghulum Bakiri. Solving multiclasslearning problems via error-correcting output codes. Journal of Artificial IntelligenceResearch, 2:263–286, 1995.