Results 71 to 80 of about 1,082,837 (347)

Function kernels and divisible groupoids

open access: yesAIMS Mathematics, 2022
In this paper, we introduce the notion of a function kernel which was motivated from the kernel in group theory, and we apply this notion to several algebraic structures, e.g., groups, groupoids, BCK-algebras, semigroups, leftoids.
Hee Sik Kim   +2 more
doaj   +1 more source

Recent Advancements in Topic Modeling Techniques for Healthcare, Bioinformatics, and Other Potential Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari   +6 more
wiley   +1 more source

Noncommutative spectral synthesis for the involutive Banach algebra associated with a topological dynamical system

open access: yes, 2012
If X is a compact Hausdorff space, supplied with a homeomorphism, then a crossed product involutive Banach algebra is naturally associated with these data. If X consists of one point, then this algebra is the group algebra of the integers. In this paper,
de Jeu, Marcel, Tomiyama, Jun
core   +1 more source

Topological algebras of kernels

open access: yesAequationes Mathematicae, 1984
This paper is devoted to the study of a class of topological algebras, called locally convex algebras of kernels. The main result of this paper is: Let E be a locally convex space and A its locally convex algebra of kernels. Then the set of all proper closed 2-sided ideals of A coincides with the set of all closed vector subspaces of ker(h), where h is
openaire   +3 more sources

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

On GE-algebras

open access: yesBulletin of the Section of Logic, 2021
Hilbert algebras are important tools for certain investigations in intuitionistic logic and other non-classical logic and as a generalization of Hilbert algebra a new algebraic structure, called a GE-algebra (generalized exchange algebra), is introduced ...
Ravikumar Bandaru   +2 more
doaj   +1 more source

Clifford algebra multivectors and kernels for melanoma classification

open access: yesMathematical Methods in the Applied Sciences, 2021
Melanoma is a deadly skin disease. Availability of digital skin lesion datasets ease the exploration of ample classification studies. Both theoretical and heuristics improvements are achieved thanks to these new datasets. Being one of many high‐level feature‐driven classification methods, support vector machines (SVMs) are widely used in the literature
Mutlu Akar   +2 more
openaire   +3 more sources

Quantum GraviElectro Dynamics

open access: yesAnnalen der Physik, EarlyView.
The BRST invariant Lagrangian of the gravitationally interacting U(1)$U(1)$ gauge theory, namely the Quantum GraviElectro Dynamics (QGED). The Yan–Mills theory with the Hilbert–Einstein gravitational Lagrangian, namely the Yang–Mills–Utiyama (YMU) theory, is defined and quantised using the standard procedure. The theory is perturbatively renormalisable,
Yoshimasa Kurihara
wiley   +1 more source

Improvement of variables interpretability in kernel PCA

open access: yesBMC Bioinformatics, 2023
Background Kernel methods have been proven to be a powerful tool for the integration and analysis of high-throughput technologies generated data. Kernels offer a nonlinear version of any linear algorithm solely based on dot products.
Mitja Briscik   +2 more
doaj   +1 more source

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) [PDF]

open access: yes, 2015
We introduce a new structured kernel interpolation (SKI) framework, which generalises and unifies inducing point methods for scalable Gaussian processes (GPs).
Nickisch, Hannes, Wilson, Andrew Gordon
core   +2 more sources

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