Haku
Aineistot 2041-2050 / 2142
Sparse minimal learning machine using a diversity measure minimization
(ESANN, 2019)
The minimal learning machine (MLM) training procedure consists in solving a linear system with multiple measurement vectors (MMV) created between the geometric con gurations of points in the input and output
spaces. Such ...
Model selection for Extreme Minimal Learning Machine using sampling
(ESANN, 2019)
A combination of Extreme Learning Machine (ELM) and Minimal Learning Machine (MLM)—to use a distance-based basis from MLM in the ridge regression like learning framework of ELM—was proposed in [8]. In the further experiments ...
A fast Fourier transform based direct solver for the Helmholtz problem
(John Wiley & Sons, 2020)
This article is devoted to the efficient numerical solution of the Helmholtz equation in a two‐ or three‐dimensional (2D or 3D) rectangular domain with an absorbing boundary condition (ABC). The Helmholtz problem is ...
Minimal Learning Machine : Theoretical Results and Clustering-Based Reference Point Selection
(JMLR, 2020)
The Minimal Learning Machine (MLM) is a nonlinear, supervised approach based on learning linear mapping between distance matrices computed in input and output data spaces, where distances are calculated using a subset of ...
Fashion-driven Textiles as A Crystal of A New Stream for Stakeholder Capitalism : Amazon’s Endeavor
(Academy & Industry Research Collaboration Center, 2020)
Fashion reflects changes in socio-economic and cultural life which, in turn, changes fashion, and apparel boosts such change. Thus, in response to a shift in people’s preferences from economic functionality to supra-functionality ...
Average Age of Information in Wireless Powered Mobile Edge Computing System
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Mobile edge computing (MEC) has been recognized as a promising technique to provide enhanced computation services for low-power wireless devices at the network edge. How to evaluate the timeliness of the task and data ...
Satellite-Assisted Multi-Connectivity in Beyond 5G
(IEEE, 2023)
Due to the ongoing standardization and deployment activities, satellite networks will be supplementing the 5G and beyond Terrestrial Networks (TNs). For the satellite communications involved to be as efficient as possible, ...
Professional social media-enabled productivity : a five-wave longitudinal study on the role of professional social media invasion, work engagement and work exhaustion
(Emerald, 2022)
Purpose
Social media platforms are increasingly used at work to facilitate work-related activities and can either challenge or make people feel more productive at jobs. This study drew from technostress and employee ...
Does artistic training affect color perception? A study of ERPs and EROs in experiencing colors of different brightness
(Elsevier, 2024)
Color is a visual cue that can convey emotions and attract attention, and there is no doubt that brightness is an important element of color differentiation. To examine the impact of art training on color perception, 44 ...
Effects of context-sensitive distraction warnings on drivers’ smartphone use and acceptance : A long-term naturalistic field study
(Elsevier, 2024)
Driver distraction by smartphone use is a major contributor in traffic accidents. Context-sensitive driver (in)attention monitoring and warning systems might mitigate the associated risks. However, few naturalistic studies ...