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[1] Ingo Steinwart,et al. On the Influence of the Kernel on the Consistency of Support Vector Machines , 2002, J. Mach. Learn. Res..
[2] N. Aronszajn. Theory of Reproducing Kernels. , 1950 .
[3] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[4] Steffen Bickel,et al. Discriminative Learning Under Covariate Shift , 2009, J. Mach. Learn. Res..
[5] I. Pinelis. OPTIMUM BOUNDS FOR THE DISTRIBUTIONS OF MARTINGALES IN BANACH SPACES , 1994, 1208.2200.
[6] J. Heckman. Sample selection bias as a specification error , 1979 .
[7] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[8] Takafumi Kanamori,et al. Statistical analysis of kernel-based least-squares density-ratio estimation , 2012, Machine Learning.
[9] Qiang Wu,et al. A note on application of integral operator in learning theory , 2009 .
[10] Motoaki Kawanabe,et al. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation , 2007, NIPS.
[11] Bernhard Schölkopf,et al. Correcting Sample Selection Bias by Unlabeled Data , 2006, NIPS.
[12] Takafumi Kanamori,et al. A Least-squares Approach to Direct Importance Estimation , 2009, J. Mach. Learn. Res..
[13] Yishay Mansour,et al. Learning Bounds for Importance Weighting , 2010, NIPS.
[14] H. Shimodaira,et al. Improving predictive inference under covariate shift by weighting the log-likelihood function , 2000 .
[15] Felipe Cucker,et al. Learning Theory: An Approximation Theory Viewpoint: Index , 2007 .
[16] B. Schölkopf,et al. Covariate Shift by Kernel Mean Matching , 2009, NIPS 2009.
[17] S. Smale,et al. Learning Theory Estimates via Integral Operators and Their Approximations , 2007 .
[18] Koby Crammer,et al. Learning Bounds for Domain Adaptation , 2007, NIPS.
[19] Bernhard Schölkopf,et al. Hilbert Space Embeddings and Metrics on Probability Measures , 2009, J. Mach. Learn. Res..
[20] Felipe Cucker,et al. Learning Theory: An Approximation Theory Viewpoint (Cambridge Monographs on Applied & Computational Mathematics) , 2007 .
[21] Bianca Zadrozny,et al. Learning and evaluating classifiers under sample selection bias , 2004, ICML.
[22] Mehryar Mohri,et al. Sample Selection Bias Correction Theory , 2008, ALT.