Machine learning classifiers &Classifier ensample
German, Asmaa Mandouh, Rania Ibrahim, Lamyaa Taha, 2023Free shipping starting at 50.–
The book "Machine Learning Classifiers & Classifier Ensemble" offers a comprehensive analysis of advanced algorithms in the field of machine learning used for the classification of land use and land cover. It focuses on seven established methods, including Support Vector Machines, Decision Trees, Artificial Neural Networks, k-Nearest Neighbors, Naive Bayes, Boosting, and Random Forest. These techniques are crucial for the accurate and timely capture of information about urban land use and cover, which is of great importance for urban development and environmental protection. The book addresses the challenges of accurately classifying land cover and highlights the necessity of these classifications for various applications, such as environmental monitoring, resource management, and urban planning. Additionally, various ensemble methods are explored to optimize the performance of the classifiers.
Language | German |
topic | Mathematics & Natural Sciences |
Author | Asmaa Mandouh, Lamyaa Taha, Rania Ibrahim |
Book cover | Paperback |
Year | 2023 |
Item number | 56996613 |
Publisher | Lap Lambert Academic |
Category | Reference books |
Release date | 27.3.2025 |
topic | Mathematics & Natural Sciences |
Language | German |
Author | Asmaa Mandouh, Lamyaa Taha, Rania Ibrahim |
Year | 2023 |
Book cover | Paperback |
Year | 2023 |
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