Abstract
The primary purpose of this book is to propose a framework that could apply to machine learning algorithm-based spatial models with consideration of spatial features. The integration of machine learning and GISscience (the central topic in this book) provides support for improving current hyperparameter optimization approaches.
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Zheng, M. (2021). Conclusion. In: Spatially Explicit Hyperparameter Optimization for Neural Networks. Springer, Singapore. https://doi.org/10.1007/978-981-16-5399-5_7
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DOI: https://doi.org/10.1007/978-981-16-5399-5_7
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