Lossless online Bayesian bagging

Journal of Machine Learning Research

Volumn 5, Issue , 2004, Pages 143-151

  Lee, Herbert K H ^a   Clyde, Merlise A ^b  

^a University of California Santa Cruz   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

Bayesian bootstrap; Classification tree; Dirichlet distribution

Indexed keywords

BAYESIAN NETWORKS; SOCIAL NETWORKING (ONLINE);

BAGGING ALGORITHMS; BAYESIAN BOOTSTRAP; BAYESIAN FORMULATION; BAYESIAN PARADIGM; CLASSIFICATION TREES; DIRICHLET DISTRIBUTIONS; ON-LINE ALGORITHMS; PREDICTIVE PERFORMANCE;

STATISTICAL METHODS;

EID: 27944503134     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. L. Breiman. Heuristics of instability in model selection. Technical report, University of California at Berkeley, 1994.
2. L. Breiman. Bagging predictors. Machine Learning, 26(2):123-140, 1996.
3. M. A. Clyde and H. K. H. Lee. Bagging and the Bayesian bootstrap. In T. Richardson and T. Jaakkola, editors, Artificial Intelligence and Statistics 2001, pages 169-174, 2001.
4. R. V. Hogg and A. T. Craig. Introduction to Mathematical Statistics. Prentice-Hall, Upper Saddle River, NJ, 5th edition, 1995.
5. H. K. H. Lee. Model selection for neural network classification. Journal of Classification, 18:227-243, 2001.
6. N. C. Oza and S. Russell. Online bagging and boosting. In T. Richardson and T. Jaakkola, editors, Artificial Intelligence and Statistics 2001, pages 105-112, 2001.
7. D. B. Rubin. The Bayesian bootstrap. Annals of Statistics, 9:130-134, 1981.
8. P. E. Utgoff, N. C. Berkman, and J. A. Clouse. Decision tree induction based on efficient tree restructuring. Machine Learning, 29:5-44, 1997.