Results 131 to 140 of about 1,777,436 (249)

Functional reproducing kernel Hilbert spaces for non-point-evaluation functional data

Applied and Computational Harmonic Analysis, 2017
Motivated by the need of processing non-point-evaluation functional data, we introduce the notion of functional reproducing kernel Hilbert spaces (FRKHSs).
Rui Wang, Yue-Sheng Xu
semanticscholar   +1 more source

On the Probabilistic Approximation in Reproducing Kernel Hilbert Spaces

Complex Analysis and Operator Theory
This paper studies the probabilistic function approximation problem over reproducing kernel Hilbert spaces. We show the existence and uniqueness of the optimizer under mild assumptions. Furthermore, we generalize the celebrated representer theorem to our setting, and especially when the probability measure is finitely supported, or the Hilbert space is
Chen, Dongwei, Wang, Kai-Hsiang
openaire   +2 more sources

Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ‐Compatible Quantum Circuits

Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.
A hybrid quantum kernel support vector machine is proposed to detect network intrusions with NISQ devices. The proposed framework combines classical preprocessing with fidelity‐based quantum feature mapping, achieving enhanced accuracy and robustness against cybersecurity threats and leveraging modern benchmark datasets, offering a glimpse of the ...
Mohammad Rafeek Khan, Malik Zaib Alam, Muneer Ahmad, Mohsin Iftikhar, Mohiuddin Ali Khan   +4 more
wiley   +1 more source

Can Green Energy Finance and Eco‐Friendly Taxes Cap Global Warming to 2 Degrees and 1.5 Degrees Celsius Above Pre‐Industrial Levels? Uncovering the Synergistic Power of Rule of Law

World Affairs, Volume 189, Issue 4, Winter 2026.
ABSTRACT Anchored on the sustainable development goals (SDGs) and the Paris Agreement, which seek to limit the global average temperature to well below 2°C above pre‐industrial levels and pursue efforts to limit the temperature to 1.5°C, this study investigates how green energy finance and environmental taxes affect environmental quality, with an ...
Mohammed Musah, Isaac Adjei Mensah, Thomas Appiah, Kwadwo Boateng Prempeh, Simplice A. Asongu   +4 more
wiley   +1 more source

Deep Learning Predicts Hematopoietic Stem Cell Aging From 3D Chromatin Images

Aging Cell, Volume 25, Issue 10, October 2026.
Deep learning identifies age‐associated chromatin architecture signatures in 3D images of hematopoietic stem cell nuclei, providing an interpretable imaging biomarker that distinguishes young from aged cells and detects chromatin rejuvenation after treatment.
Pablo Iáñez Picazo, Eva Mejía‐Ramírez, Dario Di Bari, Elena Vitali, Maria Carolina Florian, Paula Petrone   +5 more
wiley   +1 more source

Direct Construction of Quantized Tensor Trains With Small Rank for Laplace‐ or Gaussian‐Transformed Analytic Functions

International Journal for Numerical Methods in Engineering, Volume 127, Issue 18, 30 September 2026.
ABSTRACT Preparing quantum states with desired amplitude distributions is a key bottleneck in the implementation of quantum linear and nonlinear dynamics solvers, including Linear Combination of Hamiltonian Simulation (LCHS) and Schrödingerization. We present a direct, closed‐form construction of Quantized Tensor Train (QTT) representations for two ...
Katsuhiro Endo, Kazuaki Z. Takahashi
wiley   +1 more source

A characterization of multiplication operators on reproducing kernel Hilbert spaces [PDF]

, 2008
In this note, we prove that an operator between reproducing kernel Hilbert spaces is a multiplication operator if and only if it leaves invariant zero sets. To be more precise, it is shown that an operator T between reproducing kernel Hilbert spaces is a
Barbian, Christoph
core   +1 more source

Machine Learning Based System Identification with Binary Output Data Using Kernel Methods

Journal of Telecommunications and Information Technology
Within the realm of machine learning, kernel methods stand out as a prominent class of algorithms with widespread applications, including but not limited to classification, regression, and identification tasks.
Rachid Fateh, Hicham Oualla, Es-said Azougaghe, Anouar Darif, Ahmed Boumezzough, Said Safi, Mathieu Pouliquen, Miloud Frikel   +7 more
doaj   +1 more source

An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces

Compact Textbooks in Mathematics, 2022
S. Pereverzyev
semanticscholar   +1 more source

Some Lemmas on Reproducing Kernel Hilbert Spaces [PDF]

, 2002
Reproducing kernel Hilbert spaces (RKHS) provides a framework for approximation from finite data using the idea of bounded linear functionals. The approximation problem in this case can be viewed as the inverse problem of finding the optimum operator from the Euclidean space of observations to some subspace of the RKHS.
Dodd, T.J., Harrison, R.F.
openaire