Least Absolute Shrinkage is Equivalent to Quadratic Penalization
暂无分享,去创建一个
[1] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[2] Yves Grandvalet,et al. Black-Box Software Sensor Design for Environmental Monitoring , 1998 .
[3] Federico Girosi,et al. An Equivalence Between Sparse Approximation and Support Vector Machines , 1998, Neural Computation.
[4] Yves Grandvalet,et al. Adaptive Noise Injection for Input Variables Relevance Determination , 1997, ICANN.
[5] L. Breiman. Heuristics of instability and stabilization in model selection , 1996 .
[6] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[7] R. Tibshirani,et al. Generalized additive models for medical research , 1995, Statistical methods in medical research.
[8] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[9] Geoffrey E. Hinton,et al. Simplifying Neural Networks by Soft Weight-Sharing , 1992, Neural Computation.
[10] David J. C. MacKay,et al. A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.
[11] W. Härdle. Applied Nonparametric Regression , 1991 .