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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
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Support Vector
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Advantages And Disadvantages
◽
Vector Machines
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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
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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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