Machine learning classifiers &Classifier ensample
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2023, 2023
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 38.37
Quantity: 1 available
Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -There are an emergent machine learning(ML) algorithms to classify land-cover and land-use. In this book we focus on the relatively mature methods (seven methods) support vector (SVM) machines, decision trees (DTs), artificial neural networks, k-nearest neighbours (k-NN), naïve Bayes, Boosting and Random forest (RF).Accurate and timely collection of urban land use and land cover information is crucial for many aspects of urban development and environment protection.Accurate land covers classification is challenging. Improving land cover classification is a hot topic. It is needed for many applications such as land use land cover mapping environmental monitoring, natural resource management, urban planning, and management and change detection. Then a number of ensample methods were studied to combine various classifiers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Seller Inventory # 9786206845867
- Title
- Machine learning classifiers &Classifier ensample
- Author
- Lamyaa Taha
- Publisher
- LAP LAMBERT Academic Publishing Nov 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6206845869
- ISBN 13
- 9786206845867
- Item weight
- 96 grams
- Dimensions
- 220x150x4 mm
"Synopsis" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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