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Selection of optimal parameters of the model is a vital challenge directly affecting prediction accuracy.
Field sample data produced by professional foresters and field sample data produced by professionally trained communities can be used together without affecting prediction performance provided that the correlation between LiDAR predictors and biomass estimates is good enough.
This method shows the capability of substantially reducing the simulation time without affecting prediction accuracy, enabling the algorithm to serve as a fast and reliable tool for fire prediction.
We discuss the efficiency status for each of the two engaged perceptron options on affecting prediction accuracy as well as the influence of data fusion on the SNR-compressed datasets.
The relatedness between training population and application individuals is a key factor affecting prediction accuracy.
For a successful SVM model, the kernel parameters for SVM and feature subset selection are the most important factors affecting prediction accuracy.
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Its value affects prediction results significantly.
Constructing a simulation model involves subsurface uncertainties which can greatly affect prediction results.
In our previous study [2], the effect of transfer in personality affect prediction was analyzed in ELEA and VLOG datasets.
Data from preliminary experiments (not shown) suggested a set of descriptors that particularly affected prediction quality through conformational variation.
To predict sentiments and emotions arising from tweets, we used machine learning and natural language processing techniques to build supervised classification models [34] extending recently developed approaches for affect prediction in social media [41 45].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com