REFERENCES
- Atkinson , A. C. and Donev , A. N. 1992 . Optimum Experiment Design , Oxford : Clarendon Press .
- Blei , D. M. , Ng , A. Y. and Jordan , M. I. 2003 . “Latent Dirichlet Allocation,” . Journal of Machine Learning Research , 3 : 993 – 1022 .
- Cohn , D. A. 1996 . “Neural Network Exploration Using Optimal Experimental Design,” . In Neural Information Processing Systems 679 – 686 .
- Davy , M. and Luz , S. 2007 . “Dimensionality Reduction for Active Learning With Nearest Neighbour Classifier in Text Categorisation Problems,” . In International Conference on Machine Learning and Applications 1 – 8 .
- Galvanin , F. , Macchietto , S. and Bezzo , F. 2007 . “Model-Based Design of Parallel Experiments,” . Industrial & Engineering Chemistry Research , 46 : 871 – 882 .
- Gelman , A. , Su , Y.-S. , Yajima , M. , Hill , J. , Pittau , M. G. , Kerman , J. and Zheng , T. 2012 . Arm: Data Analysis Using Regression and Multilevel/Hierarchical Models R package version 1.5-03
- Hoi , S. C. H. , Jin , R. and Lyu , M. R. 2006 . “Large-Scale Text Categorization by Batch Mode Active Learning,” . In International World Wide Web Conference (WWW) 1 – 10 .
- Holub , A. , Perona , P. and Burl , M. 2008 . “Entropy-Based Active Learning for Object Recognition,” . In Computer Vision and Pattern Recognition 1 – 8 .
- Hu , R. , Lindstrom , P. , Delany , S. J. and Namee , B. M. 2010 . “Exploring the Frontier of Uncertainty Space,” . In AISTATS 2010 Poster Highlight Papers 1 – 2 .
- Liere , R. and Tadepalli , P. 1997 . “Active Learning With Committees for Text Categorization,” . In Proceedings of the 14th National Congerence on Artificial Intelligence 1 – 6 . AAAI
- MacKay , D. J. C. 1992 . “Information-Based Objective Functions for Active Data Selection,” . Neural Computation , 4 ( 4 ) : 589 – 603 .
- Müller , P. and Parmigiani , G. 1995 . “Optimal Design via Curve Fitting of Monte Carlo Experiments,” . Journal of the American Statistical Association , 90 : 1322 – 1330 .
- Porter , M. F. 1980 . “An Algorithm for Suffix Stripping,” . Program , 14 : 130 – 137 .
- Schohn , G. and Cohn , D. A. 2000 . “Less is More: Active Learning With Support Vector Machines,” . In Proceedings of the 17th International Conference on Machine Learning 1 – 8 .
- St. John , R. C. and Draper , N. R. 1975 . “D-optimality for Regression Designs: A Review,” . Technometrics , 17 : 15 – 23 .
- Taddy , M. 2012 . “On Estimation and Selection for Topic Models,” . In Proceedings of the 15th International Conference on Artificial Intelligence and Statistics (AISTATS 2012) 1 – 12 .
- Taddy , M. 2013 . “Multinomial Inverse Regression for Text Analysis” (with discussion) . Journal of the American Statistical Association , 108 : 755–770
- Taddy , M. , Gramacy , R. B. and Polson , N. G. 2011 . “Dynamic Trees for Learning and Design,” . Journal of the American Statistical Association , 106 : 109 – 123 .
- Tierney , L. and Kadane , J. B. 1986 . “Accurate Approximations for Posterior Moments and Marginal Densities,” . Journal of the American Statistical Association , 81 : 82 – 86 .
- Tong , S. and Koller , D. 2001 . “Support Vector Machine Active Learning With Applications to Text Classification,” . Journal of Machine Learning Research , 2 : 45 – 66 .
- Wald , A. 1943 . “On the Efficient Design of Statistical Investigations,” . The Annals of Mathematical Statistics , 14 : 134 – 140 .
- Yang , B. , Sun , J.-T. , Wang , T. and Chen , Z. 2009 . “Effective Multi-Label Active Learning for Text Classification,” . In KDD 09 917 – 926 .
- Zhang , Y. and Edgar , T. F. 2008 . “PCA Combined Model-Based Design of Experiments (doe) Criteria for Differential and Algebraic System Parameter Estimation,” . Industrial & Engineering Chemistry Research , 47 : 7772 – 7783 .