Publicaties

• 2023

  Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM

  S. J.S. De Rooij / K. Batselier / B. Hunyadi

• 2023

  Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data

  Frederiek Wesel / Kim Batselier

• 2022

  Alternating linear scheme in a bayesian framework for low-rank tensor approximation

  Clara Menzen / Manon Kok / Kim Batselier

• 2022

  Faster tensor train decomposition for sparse data

  Lingjie Li / Wenjian Yu / Kim Batselier

• 2022

  Kernelized support tensor train machines

  Cong Chen / Kim Batselier / Wenjian Yu / Ngai Wong

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