The Combination of Text Classifiers Using Reliability Indicators
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[1] David G. Stork,et al. Pattern Classification , 1973 .
[2] B. Brown. Proceedings of the Society of Photo-optical Instrumentation Engineers , 1975 .
[3] Jeffrey Katzer,et al. A study of the overlap among document representations , 1983, SIGIR '83.
[4] Eric Horvitz,et al. Decision theory in expert systems and artificial intelligenc , 1988, Int. J. Approx. Reason..
[5] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[6] Lawrence A. Klein,et al. Sensor and Data Fusion Concepts and Applications , 1993 .
[7] Edward A. Fox,et al. Combination of Multiple Searches , 1993, TREC.
[8] Nicholas J. Belkin,et al. The effect multiple query representations on information retrieval system performance , 1993, SIGIR.
[9] Garrison W. Cottrell,et al. Automatic combination of multiple ranked retrieval systems , 1994, SIGIR '94.
[10] William A. Gale,et al. A sequential algorithm for training text classifiers , 1994, SIGIR '94.
[11] Chris Buckley,et al. OHSUMED: an interactive retrieval evaluation and new large test collection for research , 1994, SIGIR '94.
[12] David D. Lewis,et al. A sequential algorithm for training text classifiers: corrigendum and additional data , 1995, SIGF.
[13] W. Bruce Croft,et al. Combining automatic and manual index representations in probabilistic retrieval , 1995 .
[14] James P. Callan,et al. Training algorithms for linear text classifiers , 1996, SIGIR '96.
[15] Hinrich Schütze,et al. Method combination for document filtering , 1996, SIGIR '96.
[16] W. Bruce Croft,et al. Combining classifiers in text categorization , 1996, SIGIR '96.
[17] David Maxwell Chickering,et al. A Bayesian Approach to Learning Bayesian Networks with Local Structure , 1997, UAI.
[18] Hinrich Schütze,et al. Automatic Detection of Text Genre , 1997, ACL.
[19] Andrew McCallum,et al. A comparison of event models for naive bayes text classification , 1998, AAAI 1998.
[20] João Gama,et al. Local Cascade Generalization , 1998, International Conference on Machine Learning.
[21] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[22] Susan T. Dumais,et al. A Bayesian Approach to Filtering Junk E-Mail , 1998, AAAI 1998.
[23] Anil K. Jain,et al. Classification of text documents , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[24] João Gama,et al. Combining Classifiers by Constructive Induction , 1998, ECML.
[25] John Platt,et al. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods , 1999 .
[26] David E. Johnson,et al. Maximizing Text-Mining Performance , 1999 .
[27] Yiming Yang,et al. A re-examination of text categorization methods , 1999, SIGIR '99.
[28] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[29] Eric Horvitz,et al. Bayesian Modality Fusion: Probabilistic Integration of Multiple Vision Algorithms for Head Tracking , 1999 .
[30] Ian H. Witten,et al. Issues in Stacked Generalization , 2011, J. Artif. Intell. Res..
[31] Eric Horvitz,et al. Attention-Sensitive Alerting , 1999, UAI.
[32] Andrew McCallum,et al. Using Maximum Entropy for Text Classification , 1999 .
[33] B. Schölkopf,et al. Advances in kernel methods: support vector learning , 1999 .
[34] Yiming Yang,et al. Combining Multiple Learning Strategies for Effective Cross Validation , 2000, ICML.
[35] David Maxwell Chickering,et al. Dependency Networks for Inference, Collaborative Filtering, and Data Visualization , 2000, J. Mach. Learn. Res..
[36] Thomas G. Dietterich. Ensemble Methods in Machine Learning , 2000, Multiple Classifier Systems.
[37] Susan T. Dumais,et al. Hierarchical classification of Web content , 2000, SIGIR '00.
[38] Philip K. Chan,et al. Advances in Distributed and Parallel Knowledge Discovery , 2000 .
[39] D. Heckerman,et al. Dependency networks for inference , 2000 .
[40] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[41] Wai Lam,et al. A meta-learning approach for text categorization , 2001, SIGIR '01.
[42] Peter Jackson,et al. Combining multiple classifiers for text categorization , 2001, CIKM '01.
[43] Susan T. Dumais,et al. Probabilistic combination of text classifiers using reliability indicators: models and results , 2002, SIGIR '02.
[44] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[45] Tom Fawcett,et al. Robust Classification for Imprecise Environments , 2000, Machine Learning.
[46] Tong Zhang,et al. Text Categorization Based on Regularized Linear Classification Methods , 2001, Information Retrieval.
[47] Yoram Singer,et al. BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.
[48] Shi Bing,et al. Inductive learning algorithms and representations for text categorization , 2006 .