5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.SD2020★ 5 cited
Feature Selection based on Principal Component Analysis for Underwater Source Localization by Deep Learning
Xiaoyu Zhu, Hefeng Dong, Pierluigi Salvo Rossi +1
In this paper, we propose an interpretable feature selection method based on principal component analysis (PCA) and principal component regression (PCR), which can extract importan…
stat.ML2020★ 3 cited
Bayesian geoacoustic inversion using mixture density network
Guoli Wu, Jingya Zhang, Junqiang Song
Bayesian geoacoustic inversion problems are conventionally solved by Markov chain Monte Carlo methods or its variants, which are computationally expensive. This paper extends the c…