Tri-training: exploiting unlabeled data using three classifiers
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collins, 1999, Unsupervised Models for Named Entity Classifications, Proc Joint SIGDAT Conf Empirical Methods in Natural Language Processing and Very Large Corpora, 100
d'alch�-buc, 2002, Semi-Supervised Marginboost, Advances in Neural Information Processing Systems 14, 553
witten, 2000, Data Mining Practical Machine Learning Tools and Techniques with Java Implementations
blake, 1998, UCI Repository of Machine Learning Databases
blum, 2001, Learning from Labeled and Unlabeled Data Using Graph Mincuts, Proc 18th Int'l Conf Machine Learning, 19
steedman, 2003, Bootstrapping Statistical Parsers from Small Data Sets, Proc 11th Conf European Chapter of the Assoc Computational Linguistics, 331
dempster, 1977, Maximum Likelihood from Incomplete Data via the EM Algorithm, J Royal Statistical Soc Series B, 39, 1
dasgupta, 2002, PAC Generalization Bounds for Co-Training, Advances in Neural Information Processing Systems 14, 375
hwa, 2003, Corrected Co-Training for Statistical Parsers, Working Notes of the ICML'03 Workshop Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining
goldman, 2000, Enhancing Supervised Learning with Unlabeled Data, Proc 17th Int'l Conf Machine Learning, 327
dietterich, 2000, Ensemble Methods in Machine Learning, Lecture Notes in Computer Science 1867, 1, 10.1007/3-540-45014-9_1
joachims, 1999, Transductive Inference for Text Classification Using Support Vector Machines, Proc 16th Int'l Conf Machine Learning, 200
miller, 1997, A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data, Advances in Neural Information Processing Systems 9, 571
muhlenbach, 2004, Identifying and Handling Mislabelled Instances, J Intelligent Information Systems, 22, 89, 10.1023/A:1025832930864
pierce, 2001, Limitations of Co-Training for Natural Language Learning from Large Data Sets, Proc 2001 Conf Empirical Methods in Natural Language Processing, 1
riloff, 1999, Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping, Proc 16th Nat'l Conf Artificial Intelligence, 474