Abstract: Existing periodic Gaussian process (PGP) modeling methods rely on the regularly-spaced-signal assumption (i.e., signals are evenly spaced) and the integer-period assumption for the sake of ...

We can see the difference between SVI and spline more clearly here. As expected, SVI curves show nice “smiles.” On the other hand, the spline follows the datapoints more closely but can go only as far ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

The recent release of the rcssci R package represents a significant advancement in the way researchers visualize and analyze complex relationships between continuous variables and their outcomes. The ...

Abstract: The approximation of MOSFET nonlinearities by use of polynomial splines was investigated for reducing both circuit model development time and model simulation cost. After a brief tutorial on ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...

Welcome to Part 2 of our Blender tutorial series for absolute beginners! In this episode, we'll dive into modeling an easy strawberry from scratch. Follow along with step-by-step instructions and tips ...

The Opensource DeepSeek R1 model and the distilled local versions are shaking up the AI community. The Deepseek models are the best performing open source models and are highly useful as agents and ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...

ABSTRACT: In this work, we seek the relationship between the order of the polynomial model and the number of knots and intervals that we need to fit the splines regression model. Regression models ...