Higgs Boson Discovery using Machine Learning Methods with Pyspark

Author:

Azhari Mourad,Abarda Abdallah,Ettaki Badia,Zerouaoui Jamal,Dakkon Mohamed

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. Adam-Bourdarios, C., Cowan, G., Germain-Renaud, C., Guyon, I., Kégl, B., and Rousseau, D. (2015). ”The Higgs Machine Learning Chal-lenge.Journal of Physics: Conference Series”, 634: 072015. doi:10.1088/1742-6596/664/7/072015

2. Chen, Tianqi, and Tong He.(2015) “Higgs Boson Discovery with Boosted Trees,” JMLR: Workshop and Conference Proceedings, 42: 69–80

3. Parameterized Machine Learning for High-Energy Physics;Baldi;The European Physical Journal,2016

4. Searching for Higgs Boson Decay Modes with Deep Learning;Sadowski;Advances in Neural Information Processing Systems (NIPS),2014

5. Sadowski, Peter, Julian Collado, Daniel Whiteson, and Pierre Baldi.(2015) “Deep Learning, Dark Knowledge, and Dark Matter.”, JMLR: Workshop and Conference Proceedings, 42: 81–97

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