Zobrazeno 1 - 10
of 634
pro vyhledávání: '"B. John Oommen"'
Publikováno v:
Pattern Analysis and Applications. 26:751-772
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
Learning automata (LA) with artificially absorbing barriers was a completely new horizon of research in the 1980s (Oommen, 1986). These new machines yielded properties that were previously unknown. More recently, absorbing barriers have been introduc
Publikováno v:
IEEE Access, Vol 6, Pp 5348-5361 (2018)
In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, using a novel distributed g
Externí odkaz:
https://doaj.org/article/7c995d79273345798055c13546886202
Publikováno v:
IEEE Access, Vol 6, Pp 24362-24374 (2018)
Traditional pattern classification works with the moments of the distributions of the features and involves the estimation of the means and variances. As opposed to this, more recently, research has indicated the power of using the quantiles of the d
Externí odkaz:
https://doaj.org/article/7efcc42858864cbf88717dc5cdd41e48
Autor:
Abdolreza Shirvani, B. John Oommen
Publikováno v:
IEEE Access, Vol 6, Pp 21668-21681 (2018)
From the earliest studies in graph theory, the phenomenon of transitivity has been used to design and analyze problems that can be mapped onto graphs. Some of the practical examples of this phenomenon are the “Transitive Closure”algorithm, the mu
Externí odkaz:
https://doaj.org/article/52134ddf787a478a8a4cb386c9d8af67
Publikováno v:
Pattern Analysis and Applications.
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
Author's accepted manuscript © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promo
Autor:
O. Ekaba Bisong, B. John Oommen
Publikováno v:
Evolving Systems. 12:655-686
In this paper, the Transitivity Pursuit-Enhanced Object Migration Automata (TPEOMA) is used to capture the dependence of elements in a hierarchical Singly-Linked-Lists on Singly-Linked-Lists (SLLs-on-SLLs) “adaptive” data structure. In doing so,
Publikováno v:
Pattern Analysis and Applications. 24:75-87
Parametric and nonparametric pattern recognition have been studied for almost a century based on a Bayesian paradigm, which is, in turn, founded on the principles of Bayes theorem. It is well known that the accuracy of the Bayes classifier cannot be
Autor:
Omar Ghaleb, B. John Oommen
Publikováno v:
Evolving Systems
This paper concentrates on a host of problems with characteristics similar to those that are related to moving elevators within a building. These are referred to as Elevator-like problems (ELPs), and their common phenomena will be expanded on in the