Pages that link to "Item:Q1797024"
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The following pages link to System identification using kernel-based regularization: new insights on stability and consistency issues (Q1797024):
Displaying 13 items.
- Robust EM kernel-based methods for linear system identification (Q259415) (← links)
- Kernel methods in system identification, machine learning and function estimation: a survey (Q462325) (← links)
- Tuning complexity in regularized kernel-based regression and linear system identification: the robustness of the marginal likelihood estimator (Q895270) (← links)
- Learning theory approach to a system identification problem involving atomic norm (Q895425) (← links)
- A new kernel-based approach to system identification with quantized output data (Q1679846) (← links)
- Regularized system identification. Learning dynamic models from data (Q2113283) (← links)
- Kernel-based system identification with manifold regularization: a Bayesian perspective (Q2151950) (← links)
- Sparse RKHS estimation via globally convex optimization and its application in LPV-IO identification (Q2307599) (← links)
- Nonlinear system identification via data augmentation (Q2327384) (← links)
- The existence and uniqueness of solutions for kernel-based system identification (Q2682286) (← links)
- Kernel-based identification of asymptotically stable continuous-time linear dynamical systems (Q5863750) (← links)
- A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems (Q6109495) (← links)
- Exploring the impact of post-training rounding in regression models. (Q6584366) (← links)
