Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

A new study published in Nature Neuroscience sheds light on the structural foundations of the brain’s default mode network, a ...

Abstract: This paper presents our research on how support vector regression (SVR) and parametric adaptive learning, which are normally used independently, can be exploited together to benefit adaptive ...

We use support vector regression (SVR) in the learning process. To obtain better learning results, we design a training samples selection method and use adaptive parameters for SVR. Qualitative and ...

We adopt a shortcut distillation approach that trains a single velocity-based model to support variable inference budgets ... Thanks to the natural advantages of autoregressive architecture, Magi ...