Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

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.
Communications of the ACM

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy

We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...
Communications of the ACM

Beyond the Pipeline: A Gender Lens on Priorities and Exit Triggers in the High-Tech Industry

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Layered ocean sound speed model improves acoustic seafloor positioning precision

FAYETTEVILLE, GA, UNITED STATES, June 23, 2026 /EINPresswire.com/ -- GNSS-A positioning, which combines satellite ...
IEEE

Learning to Adapt the Parameters of Behavior Trees and Motion Generators (BTMGs) to Task Variations

Abstract: The ability to learn new tasks and quickly adapt to different variations or dimensions is an important attribute in agile robotics. In our previous work, we have explored Behavior Trees and ...
IEEE

Input-Output Variation Driven Gain Observer for Ultra-Local-Model-Based Predictive Control of PMSMs without Dependence on Electrical Parameters

Abstract: Model-free predictive control (MFPC) based on ultra-local model (ULM) is characterized by enhanced robustness to parameter mismatches. However, the selection of control gains, actually, ...