Abstract: The superposition T-matrix method based on entire-domain vector spherical wave functions (VSWFs) is a powerful technique for analyzing multiple scattering problems in electromagnetic (EM) ...
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.
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Abstract: Magnetic inversion can effectively obtain the spatial distribution characteristics of underground targets. However, due to the inherent nonuniqueness characteristics of magnetic inversion ...
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