We compute analytically the Green's and its gradient and product with linear functions on a triangle T in R3. Let x be an evaluation point, r(x,y) = |y-x| and Let h(x) be a linear function on the ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Gradient variance errors in gradient-based search methods are largely mitigated using momentum, however the bias gradient errors may fail the numerical search methods in reaching the true optimum. We ...
Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...
Africa (Ghana) Mixed species (reclamation plantation) – Upslope, Mid, Downslope 17.7–21.7 Mg ha −1 and 8.8– 10.9 Mg ha −1 C Midslope > Downslope > Upslope; SOC and nutrients highest in midslope ...
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