TL;DR在高概率内提供准确的预测和估计,并比较了使用 Markov Chain Monte Carlo 和 Variational Inference 训练的贝叶斯神经网络在高光谱成像中的目标检测中的性能表现。
Abstract
neural networks (NN) have become almost ubiquitous with image classification, but in their standard form produce point estimates, with no measure of confidence. Bayesian neural networks (BNN) provide