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{
"item_title" : "On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory",
"item_author" : [" Fabian Guignard "],
"item_description" : "Introduction.- Study Area and Data Sets.- Advanced Exploratory Data Analysis.- Fisher-Shannon Analysis.- Spatio-Temporal Prediction with Machine Learning.- Uncertainty Quantification with Extreme Learning Machine.- Spatio-Temporal Modelling using Extreme Learning Machine.- Conclusions, Perspectives and Recommendations.",
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On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory
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Overview
Introduction.- Study Area and Data Sets.- Advanced Exploratory Data Analysis.- Fisher-Shannon Analysis.- Spatio-Temporal Prediction with Machine Learning.- Uncertainty Quantification with Extreme Learning Machine.- Spatio-Temporal Modelling using Extreme Learning Machine.- Conclusions, Perspectives and Recommendations.
This item is Non-Returnable
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Details
- ISBN-13: 9783030952303
- ISBN-10: 3030952304
- Publisher: Springer
- Publish Date: March 2022
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.94 pounds
- Page Count: 158
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