Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8882-2_2
Abstract: In this chapter, we review the problem of network inference from time-course data, focusing on a class of graphical models known as dynamic Bayesian networks (DBNs). We discuss the relationship of DBNs to models based… read more here.
Keywords: network; time varying; time; network inference ... See more keywords
Simultaneous inference for time-varying models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2021.03.002
Abstract: A general class of time-varying regression models is considered in this paper. We estimate the regression coefficients by using local linear M-estimation. For these estimators, weak Bahadur representations are obtained and are used to construct… read more here.
Keywords: regression; varying models; time; inference time ... See more keywords
Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3188323
Abstract: Recently, convolutional neural networks (CNNs), which exhibit excellent performance in the field of computer vision, have been in the spotlight. However, as the networks become wider for higher accuracy, the number of parameters and the… read more here.
Keywords: target capacity; time; inference time; filter pruning ... See more keywords