Modelling Machine Learning Models

Author:

Fabra-Boluda Raül,Ferri Cèsar,Hernández-Orallo José,Martínez-Plumed Fernando,Ramírez-Quintana M. José

Publisher

Springer International Publishing

Reference34 articles.

1. Balasubramanian, V., Ho, S.-S., Vovk, V.: Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications. Newnes, Oxford (2014)

2. Bella, A., Ferri, C., Hernández-Orallo, J., Ramírez-Quintana, M.J.: Using negotiable features for prescription problems. Computing 91(2), 135–168 (2011)

3. Bella, A., Ferri, C., Hernández-Orallo, J., Ramírez-Quintana, M.J.: On the effect of calibration in classifier combination. Appl. Intell. 38(4), 566–585 (2013)

4. Blanco-Vega, R., Ferri-Ramírez, C., Hernández-Orallo, J., Ramírez-Quintana, M.: Estimating the class probability threshold without training data. In: Workshop on ROC Analysis in Machine Learning, p. 9 (2006)

5. Blanco-Vega, R., Hernández-Orallo, J., Ramírez-Quintana, M.: Analysing the trade-off between comprehensibility and accuracy in mimetic models. In: Discovery Science, pp. 35–39 (2004)

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