Regression conformal prediction with random forests

Author:

Johansson Ulf,Boström Henrik,Löfström Tuve,Linusson Henrik

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference34 articles.

1. Alcalá-Fdez, J., Fernández, A., Luengo, J., Derrac, J., & García, S. (2011). Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework. Multiple-Valued Logic and Soft Computing, 17(2–3), 255–287.

2. Bache, K., & Lichman, M. (2013). UCI machine learning repository, URL http://archive.ics.uci.edu/ml .

3. Bergmann, B., & Hommel, G. (1988). Improvements of general multiple test procedures for redundant systems of hypotheses. In Multiple hypotheses testing (pp. 100–115). New York: Springer.

4. Bhattacharyya, S. (2011). Confidence in predictions from random tree ensembles. In: IEEE ICDM (pp. 71–80).

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

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