Active Algorithm Selection
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[1] Prasad Tadepalli,et al. Active Learning with Committees for Text Categorization , 1997, AAAI/IAAI.
[2] H. Sebastian Seung,et al. Query by committee , 1992, COLT '92.
[3] Foster J. Provost,et al. Active Sampling for Class Probability Estimation and Ranking , 2004, Machine Learning.
[4] Tong Zhang,et al. The Value of Unlabeled Data for Classification Problems , 2000, ICML 2000.
[5] Nello Cristianini,et al. Query Learning with Large Margin Classi ersColin , 2000 .
[6] Daphne Koller,et al. Support Vector Machine Active Learning with Applications to Text Classification , 2000, J. Mach. Learn. Res..
[7] Tommi S. Jaakkola,et al. Maximum Entropy Discrimination , 1999, NIPS.
[8] Naoki Abe,et al. Query Learning Strategies Using Boosting and Bagging , 1998, ICML.
[9] Greg Schohn,et al. Less is More: Active Learning with Support Vector Machines , 2000, ICML.
[10] Daphne Koller,et al. Support Vector Machine Active Learning with Application sto Text Classification , 2000, ICML.
[11] Raymond J. Mooney,et al. Active Learning for Natural Language Parsing and Information Extraction , 1999, ICML.
[12] H. Sebastian Seung,et al. Selective Sampling Using the Query by Committee Algorithm , 1997, Machine Learning.
[13] William A. Gale,et al. A sequential algorithm for training text classifiers , 1994, SIGIR '94.
[14] Andrew McCallum,et al. Toward Optimal Active Learning through Sampling Estimation of Error Reduction , 2001, ICML.
[15] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[16] David J. C. MacKay,et al. Information-Based Objective Functions for Active Data Selection , 1992, Neural Computation.