Hilbert Space Embeddings of Hidden Markov Models Le Song Byron Boots

Source URL: select.cs.cmu.edu

• Mathematical analysis
• Mathematics
• Algebra
• Estimation theory
• Hilbert space
• Operator theory
• Markov models
• Linear algebra
• Hidden Markov model
• Normal distribution
• Expectationmaximization algorithm
• Speech recognition

Decentralized Detection and Classification using Kernel Methods XuanLong Nguyen Computer Science Division University of California, Berkeley

Source URL: dept.stat.lsa.umich.edu

• Hilbert space
• Statistical classification
• Operator theory
• Positive-definite kernel
• Machine learning
• Support vector machine
• Reproducing kernel Hilbert space
• Learning
• Statistics
• Analysis
• Multiple kernel learning
• Kernel embedding of distributions

The Journal of Symbolic Logic Volume 75, Number 1, March 2010 ON TAO’S “FINITARY” INFINITE PIGEONHOLE PRINCIPLE JAIME GASPAR AND ULRICH KOHLENBACH

Source URL: jg.sdf.org

• Mathematical analysis
• Mathematics
• Analysis
• IP
• Characteristic function
• Uniform boundedness principle
• Operator theory
• Banach spaces
• Compact operator on Hilbert space
• Algebraic number field

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Learning Positive Functions in a Hilbert Space Bagnell, J.A; Farahmand, A.-M. TR2015-133

Source URL: www.merl.com

G¨odel functional interpretation and weak compactness Ulrich Kohlenbach1 Department of Mathematics Technische Universit¨at Darmstadt Schlossgartenstraße 7, 64289 Darmstadt, Germany -darmstadt.d

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

• Mathematics
• Mathematical analysis
• Operator theory
• Computability theory
• Arithmetic function
• Primitive recursive function
• Ergodic theory
• Hilbert space
• Theoretical physics
• Spectral theory of ordinary differential equations
• Differential forms on a Riemann surface

Curriculum Check Sheet Biomedical Engineering AND Electrical Engineering First Year – 31 Credits – Courses (prereqs) BIOM 101 ECE102 MATH160

Source URL: www.engr.colostate.edu

• Hilbert space
• Mathematical analysis
• Analytical chemistry
• Fourier analysis
• Mathematical physics

Spectral synthesis in Hilbert spaces of entire functions Anton Baranov (Saint Petersburg State University) Spectral synthesis is the possibility of the reconstruction of any invariant subspace of a linear operator from g

Source URL: www.7ecm.de

• Algebra
• Mathematics
• Linear algebra
• Operator theory
• Matrix theory
• Singular value decomposition
• Hilbert space
• Self-adjoint operator
• Spectral theory
• Eigenvalues and eigenvectors
• Vector space

Any Orthonormal Basis in High Dimension is Uniformly Distributed over the Sphere Sheldon Goldstein∗, Joel L. Lebowitz†, Roderich Tumulka‡, and Nino Zangh`ı§ October 27, 2015

Source URL: math.rutgers.edu

• Ergodic theory
• Mathematics
• Mathematical analysis
• Operator theory
• Linear algebra
• Quantum mechanics
• Stochastic processes
• Symbol
• Hilbert space
• Mixing
• Equidistributed sequence

Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Bharath K. Sriperumbudur Department of ECE UC San Diego, La Jolla, USA

Source URL: select.cs.cmu.edu

• Hilbert space
• Fourier analysis
• Operator theory
• Probability theory
• Probability distributions
• Reproducing kernel Hilbert space
• Positive-definite kernel
• Fourier transform
• Normal distribution
• Dirac delta function
• Characteristic function
• Kernel

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

Source URL: mlss.tuebingen.mpg.de