Multi-kernel Gaussian process latent variable regression model for high-dimensional sequential data modeling
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DOI: 10.1016/j.neucom.2018.07.082
Abstract: Abstract Modeling sequential data has been a hot research field for decades. One of the most challenge problems in this field is modeling real-world high-dimensional sequential data with limited training samples. This is mainly due… read more here.
Keywords: high dimensional; sequential data; model; gaussian process ... See more keywords