Kernels, regularization and differential equations

DOI10.1016/j.patcog.2008.06.011zbMath1154.68472OpenAlexW1980580116MaRDI QIDQ941562

Florian Steinke, Bernhard Schölkopf

Publication date: 1 September 2008

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.06.011

zbMATH Keywords

Gaussian processdifferential equationreproducing kernel Hilbert spacepositive definite kernel

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (5)

A unifying representer theorem for inverse problems and machine learning ⋮ Data-Driven Modeling for Wave-Propagation ⋮ Time-course window estimator for ordinary differential equations linear in the parameters ⋮ Variational image registration using inhomogeneous regularization ⋮ Linearly Constrained Linear Quadratic Regulator from the Viewpoint of Kernel Methods

Uses Software

• fda (R)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Functional data analysis
• An introduction to variational methods for graphical models
• Sequential Monte Carlo Methods in Practice
• Estimating the Support of a High-Dimensional Distribution
• On the small balls problem for equivalent Gaussian measures
• Analytical inversion of general tridiagonal matrices
• Penalized regression with model-based penalties
• Multivariate Interpolation and Conditionally Positive Definite Functions. II
• Learning Theory and Kernel Machines
• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines
• On Learning Vector-Valued Functions
• Scattered Data Approximation

This page was built for publication: Kernels, regularization and differential equations