11 citations · 13 across the 4 of their papers we have counts for
4 papers · 1 filter
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
Wang Xinming, Li Yongxiang, Yue Xiaowei +1
Multi-output Gaussian process (MGP) is commonly used as a transfer learning method to leverage information among multiple outputs. A key advantage of MGP is providing uncertainty q…
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
Wang Xinming, Wang Chao, Song Xuan +2
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outputs. Despite its high flexibility and generality, M…
Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering
Ruiyu Xu, Chao Wang, Yongxiang Li +1
Dictionary learning is an effective tool for pattern recognition and classification of time series data. Among various dictionary learning techniques, the dynamic time warping (DTW…
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
Cheolhei Lee, Jianguo Wu, Wenjia Wang +1
Developing machine learning enabled smart manufacturing is promising for composite structures assembly process. To improve production quality and efficiency of the assembly process…