Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...

Abstract: Sparse Bayesian Learning (SBL) is recognized for its efficacy in sparse signal recovery, the computational demand escalates significantly with increasing data dimensionality due to the ...

A key task in Spoken Language Understanding (SLU) is interpreting user intentions from speech utterances. This task is considered to be a classification problem with the goal of categorizing a given ...

We investigate several reinforcement learning algorithms on three Bayesian experimental design problems. Performance is measured by each agent's training time and generalisability to various ...

Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

A look at Georgia football's reliance on yards after the catch, efficiency without center Drew Bobo and more from its victory over Georgia Tech. Georgia football's 16-9 victory over Georgia Tech was ...

Our picks for the books most likely to shape evangelical life, thought, and culture. One of the great pleasures of our work at Christianity Today is getting to spend so much time with books—with the ...