Cargando…

Predicting RPC eﬃciency using machine learning and deep learning models

The report discusses main steps of retrieving RPC (Resistive Plate Chambers) data of multiple LHC (Large Hadron Collider) runs. The retrieved data contains diﬀerent metrics that are being analyzed by the help of the main statistical methods. Once the data becomes familiar, diﬀerent Machine Learning...

Descripción completa

Detalles Bibliográficos
Autor principal:	Michelevicius, Mikas
Lenguaje:	eng
Publicado:	2021
Materias:	Mathematical Physics and Mathematics Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2784121

Ejemplares similares

Lie group machine learning
por: Li, Fanzhang, et al.
Publicado: (2019)

Prediction of RPC efficiency using machine learning techniques
por: Abbasgholinejadkhamirgir, Erfan
Publicado: (2021)

Artificial intelligence, machine learning, and deep learning
por: Campesato, Oswald
Publicado: (2020)

Learn PySpark: build Python-based machine learning and deep learning models
por: Singh, Pramod
Publicado: (2019)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
por: Raschka, Sebastian, et al.
Publicado: (2017)

Machine learning paradigms: advances in deep learning-based technological applications
por: Tsihrintzis, George, et al.
Publicado: (2020)

Hands-on unsupervised learning with Python: implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
por: Bonaccorso, Giuseppe
Publicado: (2019)

Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
por: Raschka, Sebastian, et al.
Publicado: (2019)

Machine learning with R: expert techniques for predictive modeling
por: Lantz, Brett
Publicado: (2019)

Scala machine learning projects: build real-world machine learning and deep learning projects with Scala
por: Karim, Md Rezaul
Publicado: (2018)

Deep learning for physical scientists: accelerating research with machine learning
por: Pyzer-Knapp, Edward O
Publicado: (2019)

Building machine learning systems with Python: explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
por: Coelho, Luis Pedro, et al.
Publicado: (2018)

Advanced data analytics using Python: with machine learning, deep learning and NLP examples
por: Mukhopadhyay, Sayan
Publicado: (2018)

RPC development in OC (4): notes on proposed RPC development
por: Berners-Lee, Tim
Publicado: (1986)

Matlab deep learning: with machine learning, neural networks and artificial intelligence
por: Kim, Phil
Publicado: (2017)

R Deep learning essentials: build automatic classification and prediction models using unsupervised learning
por: Wiley, Joshua F
Publicado: (2016)

Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark
por: Kane, Frank
Publicado: (2017)

Building machine learning and deep learning models on Google Cloud Platform: a comprehensive guide for beginners
por: Bisong, Ekaba
Publicado: (2019)

Large scale machine learning with Python: learn to build powerful machine learning models quickly and deploy large-scale predictive applications
por: Sjardin, Bastiaan, et al.
Publicado: (2016)

Machine learning with Python cookbook: practical solutions from preprocessing to deep learning
por: Albon, Chris
Publicado: (2018)

Natural language processing recipes: unlocking text data with machine learning and deep learning using Python
por: Kulkarni, Akshay, et al.
Publicado: (2019)

Power programming with RPC
por: Bloomer, John E
Publicado: (1992)

Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
por: Galea, Alex, et al.
Publicado: (2018)

Simple RPC: how it will work : draft specifications and implementation notes for the RPC project
por: Berners-Lee, Tim, et al.
Publicado: (1986)

Simple RPC: how it will work : draft specifications and implementation notes for the RPC project
por: Berners-Lee, Tim, et al.
Publicado: (1986)

RPC project: how it will work : draft specifications and implementation notes for the RPC project
por: Berners-Lee, Tim
Publicado: (1986)

Python natural language processing: explore NLP with machine learning and deep learning techniques
por: Thanaki, Jalaj
Publicado: (2017)

Mathematics for machine learning
por: Deisenroth, Marc Peter, et al.
Publicado: (2020)

The path to predictive analytics and machine learning
por: Doherty, Conor
Publicado: (2017)

Mastering predictive analytics with scikit-learn and TensorFlow: implement machine learning techniques to build advanced predictive models using Python
por: Fontaine, Alan
Publicado: (2018)

Advanced Markov chain Monte Carlo methods: learning from past samples
por: Liang, Faming, et al.
Publicado: (2010)

Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI
por: Cook, Darren
Publicado: (2017)

Benchmark of Deep Learning models
por: Terko, Afan
Publicado: (2021)

Applied supervised learning with Python: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning
por: Johnston, Benjamin, et al.
Publicado: (2019)

Mastering machine learning with scikit-learn: learn to implement and evaluate machine learning solutions with scikit-learn
por: Hackeling, Gavin
Publicado: (2017)

Python: real world machine learning : learn to solve challenging data science problems by building powerful machine learning models using Python
por: Joshi, Prateek
Publicado: (2016)

Machine learning with R cookbook: analyze data and build predictive models
por: Bhatia, AshishSingh, et al.
Publicado: (2017)

Mastering predictive analytics with R: machine learning techniques for advanced models
por: Miller, James D, et al.
Publicado: (2017)

Machine learning using R
por: Ramasubramanian, Karthik, et al.
Publicado: (2016)

Machine learning with R cookbook
por: Chiu, Yu-Wei
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_rbc5099070gisdjn9dk0glr2tc