Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
Abstract: The radial basis function network-based autoregressive with exogenous input (RBF-ARX) model is the nonlinear model based on state dependence with additional input. This brief discusses the ...
Abstract: In this paper, we propose a novel localization algorithm to be used in applications where the measurement model is neither accurate nor complete. In our algorithm, we apply radial basis ...
LoopStructural is an opensource Python library for 3D geological modelling. The library has been built in the scope of the Loop project (Loop3d.org). LoopStructural can: Model fault networks ...
A Python library for online conformal prediction — valid prediction sets and intervals with guaranteed coverage, updated one example at a time. Calibrated probability predictions for binary ...
Background: COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) is an initiative of an international multidisciplinary team of researchers who aim to improve the ...
Municipal Solid Waste (MSW) management is a crucial service provided by cities around the world, but is often inefficient and underperforming in developing countries. This report provides eight ...
This research addresses these gaps by proposing a comprehensive multiobjective optimization framework for sustainable flyover design. The framework integrates RBF surrogate modeling with advanced ...
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