A Comparative Study of Three Supervised Machine-Learning Algorithms for Classifying Carbonate Vuggy Facies in the Kansas Arbuckle Formation

Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description ◽

10.30632/pjv60n6-2019a8 ◽

2019 ◽

Vol 60 (6) ◽

pp. 838-853

Author(s):

◽

Chicheng Xu ◽

Dawn Jobe ◽

Rui Xu ◽

◽

...

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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A Comparative Study on Supervised Machine Learning Algorithms for Copper Recovery Quality Prediction in a Leaching Process

10.37247/pasen.2.2021.6 ◽

2021 ◽

Author(s):

Victor Flores ◽

Claudio Leiva

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Copper Recovery ◽

Supervised Machine Learning ◽

Quality Prediction ◽

Leaching Process

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Fall detection using supervised machine learning algorithms: A comparative study

2016 8th International Conference on Modelling, Identification and Control (ICMIC) ◽

10.1109/icmic.2016.7804195 ◽

2016 ◽

Author(s):

Nabil Zerrouki ◽

Fouzi Harrou ◽

Amrane Houacine ◽

Ying Sun

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Algorithms ◽

Fall Detection ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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Performance Analysis of Supervised Machine Learning Algorithms for Epileptic Seizure Detection with high variability EEG datasets: A Comparative Study

2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON) ◽

10.1109/upcon47278.2019.8980115 ◽

2019 ◽

Author(s):

Gopal Chandra Jana ◽

Anshuman Sabath ◽

Anupam Agrawal

Keyword(s):

Machine Learning ◽

Performance Analysis ◽

Comparative Study ◽

Epileptic Seizure ◽

Learning Algorithms ◽

Seizure Detection ◽

High Variability ◽

Machine Learning Algorithms ◽

Supervised Machine Learning ◽

Epileptic Seizure Detection

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Comparative Study of Supervised Machine Learning Algorithms for Healthcare Dataset Using Orange

Intelligent Learning for Computer Vision - Lecture Notes on Data Engineering and Communications Technologies ◽

10.1007/978-981-33-4582-9_16 ◽

2021 ◽

pp. 195-208

Author(s):

Vaibhav Bhatnagar ◽

Ramesh C. Poonia

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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A Comparative Study of Supervised Machine Learning Algorithms for Stock Market Trend Prediction

2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) ◽

10.1109/icicct.2018.8473214 ◽

2018 ◽

Author(s):

Indu Kumar ◽

Kiran Dogra ◽

Chetna Utreja ◽

Premlata Yadav

Keyword(s):

Machine Learning ◽

Stock Market ◽

Comparative Study ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning ◽

Trend Prediction

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Comparative Study of Some Supervised Machine Learning Algorithms for Information Retrieval

Saudi Journal of Engineering and Technology ◽

10.36348/sjet.2020.v05i03.003 ◽

2020 ◽

Vol 05 (03) ◽

pp. 106-113

Author(s):

Kissinger Sunday ◽

Muhammad Bello Aliyu

Keyword(s):

Machine Learning ◽

Information Retrieval ◽

Comparative Study ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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Sentiment Analysis: A Comparative Study of Supervised Machine Learning Algorithms Using Rapid miner

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2017.11011 ◽

2017 ◽

Vol V (XI) ◽

pp. 80-89 ◽

Author(s):

Priyavrat Chauhan

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Sentiment Analysis ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study

2018 IEEE International Conference on Information Reuse and Integration (IRI) ◽

10.1109/iri.2018.00025 ◽

2018 ◽

Author(s):

Sahil Dhankhad ◽

Emad Mohammed ◽

Behrouz Far

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Credit Card ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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Application of Supervised Machine Learning Algorithms for Lithofacies Classification.

10.2523/19349-ms ◽

2019 ◽

Author(s):

Subhadeep Sarkar ◽

Chandan Majumdar

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning ◽

Lithofacies Classification

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A Deep Analysis and Efficient Implementation of Supervised Machine Learning Algorithms for Enhancing The Classification Ability of System

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i3.10941101 ◽

2019 ◽

Vol 7 (3) ◽

pp. 1094-1101

Author(s):

Sandeep Kumar Verma ◽

Turendar Sahu ◽

Manjit Jaiswal

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Efficient Implementation ◽

Machine Learning Algorithms ◽

Supervised Machine Learning

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