Importance Sampled Learning Ensembles
暂无分享,去创建一个
[1] A. Stroud. Approximate calculation of multiple integrals , 1973 .
[2] Frederick R. Forst,et al. On robust estimation of the location parameter , 1980 .
[3] J. Copas. Regression, Prediction and Shrinkage , 1983 .
[4] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[5] Geoffrey E. Hinton,et al. Learning representations by back-propagation errors, nature , 1986 .
[6] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[7] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[8] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[9] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[10] David H. Wolpert,et al. Combining Stacking With Bagging To Improve A Learning Algorithm , 1996 .
[11] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[12] L. Breiman. Random Forests--random Features , 1999 .
[13] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[14] Nikunj C. Oza,et al. Online Ensemble Learning , 2000, AAAI/IAAI.
[15] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[16] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[17] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[18] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[19] Bogdan E. Popescu,et al. Gradient Directed Regularization for Linear Regression and Classi…cation , 2004 .
[20] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[21] Leo Breiman,et al. Stacked regressions , 2004, Machine Learning.
[22] Ronald,et al. Learning representations by backpropagating errors , 2004 .
[23] B. Turlach. Discussion of "Least Angle Regression" by Efron, Hastie, Johnstone and Tibshirani , 2004 .
[24] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.