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

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

To provide a common currency for model comparison, validation and manipulation, we suggest and describe the use of impulse response functions, a concept well-developed in other fields, but only ...

To provide easy access and a graphical summary of the status of genome function annotation for model organisms and bioenergy and food crop species, we created a web application () to visualize, search ...

Abstract: To optimize the current-control performance of the linear permanent magnet synchronous motor (LPMSM) drive system, a robust continuous time model-based predictive control for the LPMSM drive ...

The Sonic SVM team today unveiled Sonic SVM Attention Capital Market. It is said to be the world’s first operational market for human attention as a programmable, on-chain asset. The protocol is ...

Our work takes the decisive step of expanding the paradigm of variational wave-function description of correlated quantum matter from its traditional solid-state realm to ultracold atoms. A recent ...

The classification of the final Gabor facial model is performed using the support vector machines (SVM). To demonstrate the quality of our technique, we give some experiments using the 3D AJMAL faces ...