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Marc Löchner and Dirk Burghardt
Social media data are widely used to gain insights about social incidents, whether on a local or global scale. Within the process of analyzing and evaluating the data, it is common practice to download and store it locally. Considerations about privacy p...
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Frederick Petry and Ronald Yager
This paper considers approaches to the computation of association rules for intuitionistic fuzzy data. Association rules can provide guidance for assessing the significant relationships that can be determined while analyzing data. The approach uses the c...
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Werry Febrianti, Kuntjoro Adji Sidarto and Novriana Sumarti
Portfolio optimization is an activity for balancing return and risk. In this paper, we used mean-variance (M-V) portfolio models with buy-in threshold and cardinality constraints. This model can be formulated as a mixed integer nonlinear programming (MIN...
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Zongxiang Liu, Chunmei Zhou and Junwen Luo
The random finite set (RFS) approach for multi-target tracking is widely researched because it has a rigorous theoretical basis. However, many prior parameters such as the clutter density, survival probability and detection probability of the target, pru...
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Jiaqi Wang, Bruce Golden and Carmine Cerrone
The carousel greedy algorithm (CG) was proposed several years ago as a generalized greedy algorithm. In this paper, we implement CG to solve linear regression problems with a cardinality constraint on the number of features. More specifically, we introdu...
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Manlio Gaudioso, Sona Taheri, Adil M. Bagirov and Napsu Karmitsa
The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of t...
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Changro Lee
Pág. 30 - 40
Although clustering analysis is a popular tool in unsupervised learning, it is inefficient for the datasets dominated by categorical variables, e.g., real estate datasets. To apply clustering analysis to real estate datasets, this study proposes an entit...
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Katerina Karelina
Pág. 28 - 35
The mapping was introduced in one of the works devoted to the study of correlation-immune functions. This mapping allows to quickly increase the number of function's variables. It is the base of recursive method of synthesis correlation-immune Bool...
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Evangelia Fragkou, Dimitrios Papakostas, Theodoros Kasidakis and Dimitrios Katsaros
The Internet of Battlefield Things is a newly born cyberphysical system and, even though it shares a lot with the Internet of Things and with ad hoc networking, substantial research is required to cope with its scale and peculiarities. This article exami...
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Alon Ascoli, Martin Weiher, Melanie Herzig, Stefan Slesazeck, Thomas Mikolajick and Ronald Tetzlaff
This manuscript provides a comprehensive tutorial on the operating principles of a bio-inspired Cellular Nonlinear Network, leveraging the local activity of NbOx
x
memristors to apply a spike-based computing paradigm, which is expected to deliver such a...
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