Tree-Growing with Probabilistically Imprecise Data-Reference-Cited by-同舟云学术

Tree-Growing with Probabilistically Imprecise Data

Published:1996 Issue: Volume: Page:201-212
ISSN:1431-8814
Container-title:Studies in Classification, Data Analysis, and Knowledge Organization
language:
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Author:

Ciampi A.,Diday E.,Lebbe J.,Perinel E.,Vignes R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-61159-9_18.pdf

Reference9 articles.

1. Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (1984): Classification and regression tree. Belmont: Wadsworth.

2. Ciampi, A., Hendricks, L., and Lou, Z. (1992): Tree growing for the multivariate model: the RECPAM approach, COMPSTAT 1992, Proceedings in computational statistics.

3. Ciampi, A., Diday, E., Lebbe, J., and Vignes, R. (1994): Recursive partition and symbolic data analysis. In: New approaches in classification and data analysis. E. Diday et al. editors, Springer-Verlag, 1994, 277–284.

4. Dempster, N.P., Laird, N.M. and Rubin D.B. (1977): Maximum likelihood from incomplete data via the EM algorithm (with discussion), Journal of the Royal Statistical Society, Serie B, 39, 1–38.

5. Diday, E. (1995): Probabilistic objects for a Symbolic Data Analysis. In: DIMACS, Series in Discrete Mathematics and Theoretical Computer Science, Volume 19, 1995.

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