- Small noise analysis for Tikhonov and RKHS regularizations
2023/05/18 by Quanjun Lang, Fei Lu, Lang, Quanjun +1 · 1 citation
Engineering · Mathematics · Medicine · #Applied mathematics #Artificial intelligence #Backus–Gilbert method #Computer science #Estimator #FOS: Computer and information sciences #Hilbert space #Inverse problem #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical analysis #Mathematical optimization #Mathematics #Medical Imaging Techniques and Applications #Numerical methods in inverse problems #Photoacoustic and Ultrasonic Imaging #Regularization (linguistics) #Regularization perspectives on support vector machines #Reproducing kernel Hilbert space #Smoothing #Smoothness #Statistics #Tikhonov regularization
- Identification of stable models in subspace identification by using regularization
2001/01/01 by Tony Van Gestel, T. Van Gestel, Johan A. K. Suykens +5 · 5 citations
Engineering · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Backus–Gilbert method #Computer science #Control Systems and Identification #Data modeling #Eigenvalues and eigenvectors #Fault Detection and Control Systems #Inverse problem #Kalman filter #Linear system #Mathematical analysis #Mathematical optimization #Mathematics #Matrix (chemical analysis) #Regularization (linguistics) #Regularization perspectives on support vector machines #Statistics #Structural Health Monitoring Techniques #Subspace topology #System identification #Tikhonov regularization #Weighting
- Regularization of linear inverse problems by rational Krylov methods
2026/07/24 by Stefan Kindermann
Computer Science · Engineering · Mathematics · #Backus–Gilbert method #Hilbert space #Inverse #Inverse problem #Krylov subspace #Numerical methods in inverse problems #Regularization (linguistics) #Regularization perspectives on support vector machines #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Tikhonov regularization