Zobrazeno 1 - 10
of 194
pro vyhledávání: '"Colin Fyfe"'
Autor:
Ian W Holloway, Elizabeth S C Wu, Callisto Boka, Nina Young, Chenglin Hong, Kimberly Fuentes, Kimmo Kärkkäinen, Mehrab Beikzadeh, Alexandra Avendaño, Juan C Jauregui, Aileen Zhang, Lalaine Sevillano, Colin Fyfe, Cal D Brisbin, Raiza M Beltran, Luisita Cordero, Jeffrey T Parsons, Majid Sarrafzadeh
Publikováno v:
JMIR Research Protocols, Vol 13, p e58448 (2024)
BackgroundSexual and gender minority (SGM) young people are disproportionately affected by HIV in the United States, and substance use is a major driver of new infections. People who use web-based venues to meet sex partners are more likely to report
Externí odkaz:
https://doaj.org/article/2fb013af2a8c4945a27197e38c1792b1
Autor:
Colin Fyfe, Wesam M. Ashour
Publikováno v:
International Journal of Artificial Intelligence and Applications for Smart Devices. 1:25-40
In this paper we illustrate a new method of visualizing and projecting time series data using reservoir computing with clustering algorithms. We show the advantages of using clustering with reservoir to visualize data. Then we extend the clustering a
Publikováno v:
IET Image Processing. 7:81-91
A novel descriptor, referred to as the whitening central projection predictor (WCPD), is developed for affine-invariant shape description. The proposed descriptor is based on central projection transform (CPT) and whitening transform (WT). Dislike co
Publikováno v:
Information Sciences. 223:75-101
Curvilinear Component Analysis (CCA) is a useful data visualisation method. CCA has the technical property that its optimisation surface, as defined by its stress function, changes during the optimisation according to a decreasing parameter. CCA uses
Publikováno v:
International Journal of Knowledge-based and Intelligent Engineering Systems. 16:215-221
Cross entropy is a method designed to estimate some statistic pertaining to events of very low probability. We discuss cross entropy with respect to optimisation problems and then illustrate the cross entropy method on a specific function Rosenbrock'
Publikováno v:
Information Sciences. 187:72-92
The Sammon mapping has been one of the most successful nonlinear metric multidimensional scaling methods since its advent in 1969, but effort has been focused on algorithm improvement rather than on the form of the stress function. This paper further
Publikováno v:
Pattern Recognition. 44:1137-1154
Sum of weighted square distance errors has been a popular way of defining stress function for metric multidimensional scaling (MMDS) like the Sammon mapping. In this paper we generalise this popular MMDS with Bregman divergences, as an example we sho
Publikováno v:
Recent Patents on Computer Sciencee. 3:1-13
The last decade has witnessed rapid development of diverse emerging wireless systems such as the third-generation (3G) and beyond wide-area cellular networks, municipal area networks and local area hotspots. It is widely envisioned that these coexist
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 20:73-82
Temporal difference learning and eligibility traces are two mechanisms for solving reinforcement learning problems. The temporal difference technique bootstraps the state value or state-action value at every step as with dynamic programming, and lear
Publikováno v:
Multiagent and Grid Systems. 4:401-414
We investigate the problem of agent communication when such agents are cooperating rather than competing. We do this using the statistical technique of canonical correlation analysis. We consider two stochastic process methods for performing canonica