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Generalized Time Warping Invariant Dictionary Learning for Time Series Classification and Clustering
Dictionary learning is an effective tool for pattern recognition and classification of time series data.
Failure-averse Active Learning for Physics-constrained Systems
Active learning is a subfield of machine learning that is devised for design and modeling of systems with highly expensive sampling costs.
Partitioned Active Learning for Heterogeneous Systems
Active learning is a subfield of machine learning that focuses on improving the data collection efficiency of expensive-to-evaluate systems.
Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly
Developing machine learning enabled smart manufacturing is promising for composite structures assembly process.
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning
A tuning method based on Bayesian information criterion and change-point detection accuracy is proposed for penalty coefficients selection.
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