Streamwise Feature Selection
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Jing Zhou | Dean P. Foster | Lyle H. Ungar | Robert A. Stine | Dean Phillips Foster | R. Stine | L. Ungar | Jing Zhou
[1] Masoud Nikravesh,et al. Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing) , 2006 .
[2] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[3] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..
[4] I. Johnstone,et al. Adapting to unknown sparsity by controlling the false discovery rate , 2005, math/0505374.
[5] Lyle H. Ungar,et al. Structural Logistic Regression for Link Analysis , 2003 .
[6] Luc De Raedt,et al. Multirelational data mining 2003: workshop report , 2003, SKDD.
[7] R. F.,et al. Mathematical Statistics , 1944, Nature.
[8] Jing Zhou,et al. Streaming feature selection using alpha-investing , 2005, KDD '05.
[9] Dean P. Foster,et al. Local Asymptotic Coding and the Minimum Description Length , 1999, IEEE Trans. Inf. Theory.
[10] Dean Phillips Foster,et al. Calibration and Empirical Bayes Variable Selection , 1997 .
[11] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[12] Masoud Nikravesh,et al. Feature Extraction - Foundations and Applications , 2006, Feature Extraction.
[13] Jorma Rissanen,et al. Hypothesis Selection and Testing by the MDL Principle , 1999, Comput. J..
[14] R. Stine. Model Selection Using Information Theory and the MDL Principle , 2004 .
[15] Jing Zhou,et al. Streaming Feature Selection using IIC , 2005, AISTATS.
[16] Lyle H. Ungar,et al. Cluster-based concept invention for statistical relational learning , 2004, KDD.
[17] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[18] Naftali Tishby,et al. Margin based feature selection - theory and algorithms , 2004, ICML.
[19] E. George. The Variable Selection Problem , 2000 .
[20] I. Johnstone,et al. Needles and straw in haystacks: Empirical Bayes estimates of possibly sparse sequences , 2004, math/0410088.
[21] Dean P. Foster,et al. The risk inflation criterion for multiple regression , 1994 .
[22] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[23] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[24] R. Larsen. An introduction to mathematical statistics and its applications / Richard J. Larsen, Morris L. Marx , 1986 .
[25] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[26] F. Fleuret. Fast Binary Feature Selection with Conditional Mutual Information , 2004, J. Mach. Learn. Res..