Results 211 to 220 of about 1,082,837 (347)

Discriminative graph regularized representation learning for recognition. [PDF]

PLoS One
Qi J, Xu R.
europepmc   +1 more source

An algebra structure for reproducing kernel Hilbert spaces [PDF]

Michael Montgomery, Dimitrios Giannakis
openalex   +1 more source

PLNet: Persistent Laplacian neural network for protein–protein binding free energy prediction

Protein Science, Volume 34, Issue 12, December 2025.
Abstract Recent advances in topology‐based modeling have greatly improved molecular prediction tasks, particularly in protein–ligand binding affinity. However, when the focus shifts to predicting protein–protein interactions (PPIs) binding free energy, the question becomes significantly more challenging due to the ineffective use of topological ...
Xingjian Xu, Chunmei Wang, Guo‐Wei Wei, Jiahui Chen   +3 more
wiley   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

Mach Learn Sci Technol
Papillon M, Sanborn S, Mathe J, Cornelis L, Bertics A, Buracas D, J Lillemark H, Shewmake C, Dinc F, Pennec X, Miolane N.   +10 more
europepmc   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual   +2 more
wiley   +1 more source

Analysis of hybrid fractional integro-differential equations with application to cholera dynamics. [PDF]

Sci Rep
Algolam MS, Chebab M, Abdo MS, Alshammari F, Aldwoah K.   +4 more
europepmc   +1 more source

Toward Useful Quantum Kernels

Advanced Quantum Technologies, Volume 8, Issue 12, December 2025.
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini, Francesco Martini, Alessandra Di Pierro   +2 more
wiley   +1 more source

Cervical cancer prediction using deformable kernel darknet-53 and depth wise separable convolutional neural networks. [PDF]

Sci Rep
Ameta GK, Ramkumar MS, Jenifa G, Sivaramkrishnan M, Thangavelsamy N, Ghouse M, Khan TMY, Khan MA, Dessalegn AA.   +8 more
europepmc   +1 more source

Local algebraicity and localization of the Bergman kernel on Stein spaces with finite type boundaries [PDF]

Peter Ebenfelt, Soumya Ganguly, Ming Xiao   +2 more
openalex   +1 more source

Mixability of Finite Groups

Random Structures &Algorithms, Volume 67, Issue 4, December 2025.
ABSTRACT A finite group G$$ G $$ is mixable if a product of random elements, each chosen independently from two options, can distribute uniformly on G$$ G $$. We present conditions and obstructions to mixability. We show that 2‐groups, the symmetric groups, the simple alternating groups, several matrix and sporadic simple groups, and most finite ...
Gideon Amir, Guy Blachar, Subhajit Ghosh, Uzi Vishne   +3 more
wiley   +1 more source