A Comparison of Machine Learning Methods for the Prediction of Breast Cancer

Author:

Silva Sara,Anunciação Orlando,Lotz Marco

Publisher

Springer Berlin Heidelberg

Reference25 articles.

1. Aha, D., Kibler, D., Albert, M.: Instance-based learning algorithms. Machine Learning 6(1), 37–66 (1991)

2. Anunciação, O., Gomes, B., Vinga, S., Gaspar, J., Oliveira, A., Rueff, J.: A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups. In: Advances in Bioinformatics, pp. 43–51 (2010)

3. Breiman, L.: Random forests. Machine Learning 45(1), 5–32 (2001)

4. Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Wadsworth International Group, Belmont (1984)

5. Broomhead, D., Lowe, D., Signals, R., Malvern, R.: Radial basis functions, multi-variable functional interpolation and adaptive networks (1988)

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