scientific article; zbMATH DE number 7626782
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Publication:5053296
Fuyuta Komura, Yoshinobu Kawahara, Takeshi Katsura, Masahiro Ikeda, Yuka Hashimoto, Isao Ishikawa
Publication date: 6 December 2022
Full work available at URL: https://arxiv.org/abs/2101.11410
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
kernel PCAinteraction effectsstructured datakernel mean embeddingreproducing kernel Hilbert \(C^\ast \)-module
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- Geometry of quantum state space and quantum correlations
- Operator-valued kernel-based vector autoregressive models for network inference
- Local convergence of the steepest descent method in Hilbert spaces
- Theory of reproducing kernels and applications
- Hilbert \(C^*\) and \(W^*\)-modules and their morphisms
- On the empirical estimation of integral probability metrics
- Koopman operator spectrum for random dynamical systems
- Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables
- Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces
- Functional data analysis.
- Mathematical methods in physics. Distributions, Hilbert space operators, variational methods, and applications in quantum physics
- Integral representation of dominated operations on spaces of continuous vector fields
- 10.1162/153244302760185252
- Hilbert space embeddings and metrics on probability measures
- Applied Koopmanism
- Quantum information and relativity theory
- Murphy's ``Positive definite kernels and Hilbert C*-modules reorganized
- On a Class of Minimal Functionals on a Space of Probability Measures
- A Hilbert Space Embedding for Distributions
- Integral Probability Metrics and Their Generating Classes of Functions
- Kernel Mean Embedding of Distributions: A Review and Beyond
- Real Analysis and Probability
- Universality, Characteristic Kernels and RKHS Embedding of Measures
- Reproducing kernel Hilbert C∗-modules and kernels associated with cocycles
- On Learning Vector-Valued Functions
- Scattered Data Approximation
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