Efficient method to estimate Bagging's generalization error

Machine Learning

Volumn 35, Issue 1, 1999, Pages 41-55

  Wolpert, David H ^a   Macready, William G ^b  

^a NASA AMES RESEARCH CENTER   (United States)

^b Bios Group   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; ERROR CORRECTION; LEARNING ALGORITHMS;

BAGGING GENERALIZED ERRORS; BIAS-VARIANCE DECOMPOSITIONS;

LEARNING SYSTEMS;

EID: 0032638640     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007519102914     Document Type: Article

References (11)

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3. Breiman, L. (1996). Out-of-bag estimation. University of California, Dept. of statistics.
4. Efron, B. (1979). Computers and the theory of statistics: thinking the unthinkable. SIAM Review, 21: 460.
5. Efron, B. & Tibshirani, R. (1993). An introduction to the bootstrap. Chapman and Hall.
6. Geman, S., Bienenstock, E., & Doursat, R. (1992). Neural networks and the bias/variance dilemma. Neural Computation, 4: 1-58.
7. Tibshirani, R. (1996). Bias, variance and prediction error for classification rules. University of Toronto Statistics Department Technical Report.
8. Wolpert, D. H. (1992). Stacked generalization. Neural Networks, 5: 241-249.
9. Wolpert, D. H. (1996). The bootstrap is inconsistent with probability theory. In "Maximum Entropy and Bayesian Methods", K. Hanson and R. Silver (Eds), pages 69-76.
10. Wolpert, D. H. (1996). On bias plus variance. Neural Computation, in press.
11. Wolpert, D. H. & Macready, W G. (1996). Combining stacking with bagging to improve a learning algorithm. Submitted.