Time series cluster kernels to exploit informative missingness and incomplete label information

10 Jul 2019Karl Øyvind MikalsenCristina Soguero-RuizFilippo Maria BianchiArthur RevhaugRobert Jenssen

The time series cluster kernel (TCK) provides a powerful tool for analysing multivariate time series subject to missing data. TCK is designed using an ensemble learning approach in which Bayesian mixture models form the base models... (read more)

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