Feature space Basics of reproducing kernel Hilbert spaces Kernel Ridge Regression Lecture 1: Introduction to RKHS MLSS Tübingen, 2015

Source URL: www.gatsby.ucl.ac.uk

A uniform quantitative form of sequential weak compactness and Baillon’s nonlinear ergodic theorem Ulrich Kohlenbach July 27, 2011

Source URL: www.mathematik.tu-darmstadt.de

• Operator theory
• Linear algebra
• Compactness theorem
• Model theory
• Arithmetic function
• Hilbert space
• Harmonic analysis

Journal of Machine Learning Research1561 Submitted 8/09; Revised 3/10; Published 4/10 Hilbert Space Embeddings and Metrics on Probability Measures Bharath K. Sriperumbudur

Source URL: select.cs.cmu.edu

• Mathematical analysis
• Mathematics
• Analysis
• Hilbert space
• Fourier analysis
• Generalized functions
• Functional analysis
• Operator theory
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Dirac delta function
• Convolution

Bounds on Kuhfittig’s iteration schema in uniformly convex hyperbolic spaces Muhammad Aqeel Ahmad Khan1,2 , Ulrich Kohlenbach2,∗ Department of Mathematics, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pak

Source URL: www.mathematik.tu-darmstadt.de

• Operator theory
• Hilbert space
• Linear algebra
• Spectral theory
• Ordinary differential equations

Kernel Belief Propagation 1 Le Song,1 Arthur Gretton,1,2 Danny Bickson,1 Yucheng Low,1 Carlos Guestrin1 School of Computer Science, CMU; 2 Gatsby Computational Neuroscience Unit & MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Statistics
• Probability
• Mathematical analysis
• Machine learning
• Hilbert space
• Graphical models
• Probability theory
• Belief propagation
• Coding theory
• Positive-definite kernel
• Mixture model
• Normal distribution

Nonparametric Tree Graphical Models via Kernel Embeddings 1 Le Song,1 Arthur Gretton,1,2 Carlos Guestrin1 School of Computer Science, Carnegie Mellon University; 2 MPI for Biological Cybernetics

Source URL: select.cs.cmu.edu

• Mathematics
• Mathematical analysis
• Hilbert space
• Topology
• Probability theory
• Model theory
• Graphical models
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Embedding
• Belief propagation
• Kalman filter

SIAM J. SCI. COMPUT. Vol. 37, No. 5, pp. S503–S525 c 2015 Society for Industrial and Applied Mathematics 

Source URL: persweb.wabash.edu

• Operator theory
• Partial differential equations
• Fourier analysis
• Sobolev spaces
• Complex analysis
• Hilbert space
• Constructible universe
• Differential forms on a Riemann surface
• NeumannPoincar operator

Reconstruction of signals from frame coefficients with erasures A sequence (xn )∞ n=1 in a real or complex Hilbert space H is a frame for H if there exist positive constants A and B, that are called frame bounds, such

Source URL: www.mathos.unios.hr

Quantitative image recovery theorems Muhammad Aqeel Ahmad Khan1,2 , Ulrich Kohlenbach2,∗ 1 Department of Mathematics, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan 2 Department of Mathematics, Techn

Source URL: www.mathematik.tu-darmstadt.de

• Mathematical analysis
• Mathematics
• Operator theory
• Analysis
• Banach space
• Hilbert space
• Convex function
• Fourier analysis

Discussion on Brownian distance covariance by G. J. Szekely and M. L. Rizzo

Source URL: select.cs.cmu.edu

• Covariance and correlation
• Multivariate statistics
• Probability theory
• Hilbert space
• Independence
• Positive-definite kernel
• Distance correlation
• Reproducing kernel Hilbert space
• Covariance
• Characteristic function
• Kernel
• Multivariate random variable