Model Selection for Optimal Prediction in Statistical Machine Learning

Ernest Fokoué

doi:10.1090/noti2014

Model Selection for Optimal Prediction in Statistical Machine Learning

Notices of the American Mathematical Society ◽

10.1090/noti2014 ◽

2020 ◽

Vol 67 (02) ◽

pp. 1

Author(s):

Ernest Fokoué

Keyword(s):

Machine Learning ◽

Model Selection ◽

Optimal Prediction ◽

Statistical Machine Learning ◽

Selection For

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Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596450 ◽

2010 ◽

Cited By ~ 19

Author(s):

Davide Anguita ◽

Alessandro Ghio ◽

Noemi Greco ◽

Luca Oneto ◽

Sandro Ridella

Keyword(s):

Machine Learning ◽

Support Vector Machines ◽

Model Selection ◽

Learning Theory ◽

Support Vector ◽

Advantages And Disadvantages ◽

Vector Machines ◽

Selection For

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Assessment of Input Variable Importance and Machine Learning Model Selection for Improving Short Term Load Forecasting on Different Building Types

Journal of KIAEBS ◽

10.12972/jkiaebs.20170027 ◽

2017 ◽

Vol 11 (6) ◽

Keyword(s):

Machine Learning ◽

Model Selection ◽

Load Forecasting ◽

Learning Model ◽

Variable Importance ◽

Short Term ◽

Machine Learning Model ◽

Short Term Load Forecasting ◽

Selection For

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Information-theoretic model selection for optimal prediction of stochastic dynamical systems from data

Physical Review E ◽

10.1103/physreve.97.032206 ◽

2018 ◽

Vol 97 (3) ◽

Cited By ~ 3

Author(s):

David Darmon

Keyword(s):

Dynamical Systems ◽

Model Selection ◽

Theoretic Model ◽

Optimal Prediction ◽

Stochastic Dynamical Systems ◽

Information Theoretic ◽

Selection For

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Machine Learning-Based Model Selection for Anomalous Wireless Link Detection

10.23919/softcom52868.2021.9559082 ◽

2021 ◽

Author(s):

Gregor Cerar ◽

Halil Yetgin ◽

Carolina Fortuna

Keyword(s):

Machine Learning ◽

Model Selection ◽

Wireless Link ◽

Selection For

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Data Processing and Model Selection for Machine Learning-based Network Intrusion Detection

2020 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR) ◽

10.1109/cqr47547.2020.9101394 ◽

2020 ◽

Author(s):

Abhijeet Sahu ◽

Zeyu Mao ◽

Katherine Davis ◽

Ana E. Goulart

Keyword(s):

Machine Learning ◽

Model Selection ◽

Intrusion Detection ◽

Data Processing ◽

Network Intrusion Detection ◽

Network Intrusion ◽

Selection For

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Model Selection for Machine Learning Algorithm on Decision Making in Oil and Gas Upstream Project Malaysia

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/596/1/012071 ◽

2020 ◽

Vol 596 ◽

pp. 012071

Author(s):

Mohd Shahrizan Abd Rahman ◽

Nor Azliana Akmal Jamaludin

Keyword(s):

Machine Learning ◽

Decision Making ◽

Model Selection ◽

Oil And Gas ◽

Learning Algorithm ◽

Machine Learning Algorithm ◽

Selection For

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Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services

IEEE Internet of Things Journal ◽

10.1109/jiot.2020.3022323 ◽

2020 ◽

pp. 1-1

Author(s):

Basheer Qolomany ◽

Ihab Mohammed ◽

Ala Al-Fuqaha ◽

Mohsen Guizani ◽

Junaid Qadir

Keyword(s):

Machine Learning ◽

Model Selection ◽

Smart City ◽

Learning Model ◽

Machine Learning Model ◽

Industrial Iot ◽

Selection For

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Model Selection for Predicting Breast Cancer using Supervised Machine Learning Algorithms

2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) ◽

10.1109/icce50343.2020.9290578 ◽

2020 ◽

Author(s):

Ajit Kumar ◽

Rajkumar Patra ◽

Anupam Ghosh

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Model Selection ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning ◽

Selection For

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Faculty Opinions recommendation of Model selection for ecologists: the worldviews of AIC and BIC.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718403213.793493662 ◽

2014 ◽

Author(s):

Barry Brook

Keyword(s):

Model Selection ◽

Selection For

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Earth Model Selection for Computer Simulations

10.21236/ada216843 ◽

1989 ◽

Author(s):

J. J. Pich ◽

S. S. Leroy

Keyword(s):

Model Selection ◽

Computer Simulations ◽

Earth Model ◽

Selection For

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