Search alternatives:
files implementation » time implementation (Expand Search), pilot implementation (Expand Search), assess implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
files implementation » time implementation (Expand Search), pilot implementation (Expand Search), assess implementation (Expand Search)
python model » python tool (Expand Search), action model (Expand Search), motion model (Expand Search)
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Data&Codes.zip
Published 2025“…</p><p dir="ltr">This file contains data and codes. The data contains two real-world datasets. …”
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Overview of deep learning terminology.
Published 2024“…This paper introduces the geodl R package, which supports pixel-level classification applied to a wide range of geospatial or Earth science data that can be represented as multidimensional arrays where each channel or band holds a predictor variable. geodl is built on the torch package, which supports the implementation of DL using the R and C++ languages without the need for installing a Python/PyTorch environment. …”
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BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …”
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Type II error rate from estimation of simulated outcomes using the EE algorithm.
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Type I error rate from estimation of simulated outcomes using the EE algorithm.
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Schematic of the approach: This schematic illustrates the entire workflow of the project.
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