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.

DeepHyper is first and foremost a hyperparameter optimization (HPO) library. By leveraging this core HPO functionnality, DeepHyper also provides neural architecture search, multi-fidelity and ensemble ...

Pull request by Ben Goodrich for fixing the issue with clang4. New version on it's way to CRAN.

Abstract: In this paper, an importance sampling maximum likelihood (ISML) estimator for direction-of-arrival (DOA) of incoherently distributed (ID) sources is proposed. Starting from the maximum ...

A new algorithm is suggested based on the central limit theorem for generating pseudo-random numbers with a specified normal or Gaussian probability density function. The suggested algorithm is very ...

This paper explores the mathematics behind optimal portfolio construction when relative utility and risk are considered together in a general sense. I derive the portfolio optimization problems when ...

Despite thousands of articles addressing heart rate variability (HRV) in healthy subjects and patients with various clinical conditions published during the last decades, our understanding of the ...

The Research Topic on Multiscale Lattices and Composite Materials (MLCM) is focused on the design, modeling, control and testing of unconventional lattices and composite materials at different scales, ...

Abstract: In this paper, a numerically robust solver for least-square problems with bounded variables (BVLS) is presented for applications including, but not limited to, model predictive control (MPC) ...

aDepartment of Medicine, University of Otago, Dunedin, Otago, New Zealand bDepartment of Human Nutrition, University of Otago, Dunedin, Otago, New Zealand cEdgar National Centre for Diabetes and ...