Scale Genetic Programming for large Data Sets: Case of Higgs Bosons Classification

Author:

Hmida Hmida,Hamida Sana Ben,Borgi Amel,Rukoz Marta

Publisher

Elsevier BV

Subject

General Engineering

Reference27 articles.

1. Adam-Bourdarios, C., Cowan, G., Germain, C., Guyon, I., Kegl, B., Rousseau, D., 2014a. Learning to discover: the higgs boson machine learning challenge URL: http://higgsml.lal.in2p3.fr/documentation

2. Adam-Bourdarios, C., Cowan, G., Germain, C., Guyon, I., Kegl, B., Rousseau, D., 2014b. The ATLAS Higgs Boson Machine Learning Challenge, in: International Conference on High Energy Physics(ICHEP) Conference, Valencia, Spain.

3. Adam-Bourdarios, C., Cowan, G., Germain, C., Guyon, I., Kégl, B., Rousseau, D., 2016. How machine learning won the higgs boson challenge, in: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.

4. Adam-Bourdarios, C., Cowan, G., Germain-Renaud, C., Guyon, I., Kgl, B., Rousseau, D., 2015. The higgs machine learning challenge. Journal of Physics: Conference Series 664, 072015. URL: http://stacks.iop.org/1742-6596/664/i=7/a=072015

5. Stacking machine learning classifiers to identify higgs bosons at the lhc;Alves;Journal of Instrumentation,2017

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