Gaussian Process Kernels are covariance functions used in Gaussian processes to measure the relationships among data points, providing uncertainty estimates and confidence ratings for…
Browsing: Gaussian Processes
This article discusses the use of deep kernel learning (DKL) in predicting reaction outcomes in chemistry. DKL integrates neural networks and Gaussian processes to…
This article discusses the use of Gaussian Processes in machine learning to map a dynamic genetic effect as a function of a continuous factor.…
This Special Issue aims to publish extended versions of papers in machine learning communications and electronics. Potential topics include but are not limited to…
Qualcomm Technologies has launched the European QIF Excellence Award to recognize and mentor innovative engineering PhD students in the fields of Artificial Intelligence and…