David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

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.

As the current paradigm of clinical research is shifting toward data centricity, the utilization of health care data is increasingly emphasized. Objective: We aimed to review the literature on ...

Abstract: This work investigates the problem of direct data-driven control (DDC) for linear systems under stochastic sensor/actuator faults. A fault model obeying Markov chain is firstly constructed ...

In today’s world of super-quick software development, companies are churning out updates, new features and bug fixes faster than ever – which means they’re also introducing a whole lot of risk. While ...

Abstract: We develop the theoretical formulation for a non-intrusive, quadrature-based method for approximate balanced truncation (QuadBT) of linear systems with quadratic outputs, thus extending the ...