Unsupervised State-Space Modeling Using Reproducing Kernels

DOI10.1109/TSP.2015.2448527zbMath1394.94599OpenAlexW1540164447MaRDI QIDQ4580836

Petar M. Djurić, Felipe Tobar, Danilo P. Mandic

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2015.2448527

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

A flexible state-space model for learning nonlinear dynamical systems ⋮ Online Bayesian inference and learning of Gaussian-process state-space models ⋮ Unsupervised learning of observation functions in state space models by nonparametric moment methods

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