Zobrazeno 1 - 10
of 78 220
pro vyhledávání: '"Limit (mathematics)"'
Autor:
Hamed Amini
Publikováno v:
Mathematics and Financial Economics. 17:247-283
We develop a model for contagion risks and optimal security investment in a directed network of interconnected agents with heterogeneous degrees, loss functions and security profiles. Our model generalizes much of contagion models in the literature;
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:2480-2489
In most traditional machine learning algorithms, the training and testing datasets have identical distributions and feature spaces. However, these assumptions have not held in many real applications. Although transfer learning methods have been inven
Publikováno v:
Journal of Symbolic Computation. 115:492-517
This paper introduces an algorithmic approach to the analysis of bifurcation of limit cycles from the centers of nonlinear continuous differential systems via the averaging method. We develop three algorithms to implement the averaging method. The fi
Publikováno v:
IEEE Transactions on Cybernetics. 53:1078-1092
In this work, we design a distributed algorithm for time-varying convex optimization over networks with quantized communications. Each agent has its local time-varying objective function, while the agents need to cooperatively track the optimal solut
Autor:
Afaq Ahmad, Demitrios M. Cotsovos
Publikováno v:
Proceedings of the Institution of Civil Engineers - Structures and Buildings. 176:28-50
The aim of the present paper is to compare the current design codes’ predictions for reinforced concrete (RC) T-beams with the alternative physical methods – namely, the compressive force path (CFP) method and artificial neural networks (ANNs). T
Publikováno v:
IEEE Transactions on Affective Computing. 14:343-356
The individual differences and the dynamic uncertain relationships among different electroencephalogram (EEG) regions are essential factors that limit EEG emotion recognition. To address these issues, in this paper, we propose a variational instance-
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5825-5839
Knowledge graph embedding is an effective way to represent knowledge graph, which greatly enhance the performances on knowledge graph completion tasks, e.g. entity or relation prediction. For knowledge graph embedding models, designing a powerful los
Autor:
Frédéric Mazenc, Olivier Bernard
Publikováno v:
IEEE Transactions on Automatic Control. 67:6053-6059
A simple necessary and sufficient condition ensuring that a real matrix of dimension 3 is similar to a Metzler matrix is exhibited. When this condition is satisfied, a construction of the transfer matrix is given. This construction is used to design
Publikováno v:
IEEE Transactions on Mobile Computing. 21:3789-3806
A user-centric location privacy trading framework, called ULPT, is constructed to facilitate location privacy trading between workers and the platform. Each worker can decide how much location privacy to disclose to the platform in an MCS task based
Publikováno v:
IEEE Transactions on Cybernetics. 52:10667-10682
Tensor singular value decomposition (t-SVD) has recently become increasingly popular for tensor recovery under partial and/or corrupted observations. However, the existing t -SVD-based methods neither make use of a rank prior nor provide an accurate