1 code implementation • 10 Oct 2019 • Samuel Sharpe, Jin Yan, Fan Wu, Iddo Drori
Given the complete query, we fine tune a BERT embedding for estimating probabilities of a broad set of instances.
1 code implementation • 11 Jan 2021 • Zhiming Zhang, Jin Yan, Liangding Li, Hong Pan, Chuanzhi Dong
A deep learning model, long short term memory fully convolutional network (LSTM-FCN), is leveraged by assigning appropriate inputs and representative class labels for the TSC problem, First, a TSC classifier is trained and validated using the data collected under intact conditions of stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels.
no code implementations • 18 Mar 2024 • Xinrun Xu, Manying Lv, Yurong Wu, Zhanbiao Lian, Zhiming Ding, Jin Yan, Shan Jiang
Despite its efficacy, the current clustering method utilizing the graph-based model overlooks the uncertainty associated with random walk access between nodes and the embedded structural information in the data.