Here we propose a novel machine learning method for time series forecasting which is based on the widely-used Least Squares Support Vector Machine (LS-SVM) approach. The objective function of our ...

We propose computationally efficient algorithms for extracting a single source of interest (SOI) using geometrically-regularized independent vector extraction (GR-IVE). Conventional GR-IVE relies on a ...

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The Nelder-Mead simplex method for function minimization is a "direct" method requiring no derivatives. The objective function is evaluated at the vertices of a simplex, and movement is away from the ...

Richard E. Wendell, Arthur P. Hurter Jr. We consider an important class of mathematical programs, in which the vector variable can be partitioned into two subvectors corresponding to independent ...