There are 0 repository under higgs-boson-challenge topic.
First project of the EPFL Machine Learning course, which aims to solve the Higgs Boson classification problem using various regression techniques. (2018-2019)
Code for the Higgs Boson Machine Learning Challenge organised by CERN & EPFL
Repo supporting arXiv:2002.01427 [physics.data-an]
The discovery of Higgs particle was announced on 4th July 2012. In 2013, Nobel Prize was conferred upon two scientists, Francois Englert and Peter Higgs for their contribution towards its discovery. A characteristic property of Higgs Boson is its decay into other particles through different processes. At the ATLAS detector at CERN, very high energy protons are accelerated in a circular trajectory in both directions thus colliding with themselves and resulting in hundreds of particles per second. The goal of the Challenge is to improve the classification procedure that produces the selection region. We have used Random Forest Classifiers and experimented with VIME.
Higgs Boson ML Challenge
Special curriculum project at UiO. Where the aim was to do the Higgs Boson Machine Learning challenge from 2014 using Neural Networks and Quantum Neural Networks
Import the Higgs Machine Learning Challenge data (CSV) to MongoDB Instance
Detecting the Higgs Boson particle with TPUs
Higgs Boson Challenge: a hard classification task achieved without the help of a machine learning library.
An AICrowd Challenge: Logistic Regression classifier that predicts whether an event's decay signature was the one of a Higgs Boson
Rapport de projet en apprentissage statistique MAIN5 2019-2020. Higgs Boson Machine Learning Kaggle Challenge.