Zobrazeno 1 - 10
of 62 303
pro vyhledávání: '"Computer Science - Artificial Intelligence"'
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:8377-8387
Traditional machine learning techniques have been widely used to establish the trust management systems. However, the scale of training dataset can significantly affect the security performances of the systems, while it is a great challenge to detect
Publikováno v:
European Journal of Operational Research. 308:1-18
We propose a survey of the research contributions on the field of Educational Timetabling with a specific focus on "standard" formulations and the corresponding benchmark instances. We identify six of such formulations and we discuss their features,
Publikováno v:
Neural Networks. 164:521-534
Steady-state visual evoked potential (SSVEP) is one of the most commonly used control signal in the brain-computer interface (BCI) systems. However, the conventional spatial filtering methods for SSVEP classification highly depend on the subject-spec
Autor:
Oskar Skibski
Publikováno v:
Social Networks. 74:13-18
We uncover a new relation between Closeness centrality and the Condorcet principle. We define a Condorcet winner in a graph as a node that compared to any other node is closer to more nodes. In other words, if we assume that nodes vote on a closer ca
Autor:
Fabian A. Braeu, Alexandre H. Thiéry, Tin A. Tun, Aiste Kadziauskiene, George Barbastathis, Tin Aung, Michaël J.A. Girard
Publikováno v:
American Journal of Ophthalmology. 250:38-48
Purpose: The optic nerve head (ONH) undergoes complex and deep 3D morphological changes during the development and progression of glaucoma. Optical coherence tomography (OCT) is the current gold standard to visualize and quantify these changes, howev
Publikováno v:
Machine Learning, 112(6), 1897-1921. Springer
Automated Machine Learning (AutoML) has been used successfully in settings where the learning task is assumed to be static. In many real-world scenarios, however, the data distribution will evolve over time, and it is yet to be shown whether AutoML t
Publikováno v:
IEEE Robotics and Automation Letters. 8:3214-3221
We propose an extension to the MAPF formulation, called SocialMAPF, to account for private incentives of agents in constrained environments such as doorways, narrow hallways, and corridor intersections. SocialMAPF is able to, for instance, accurately
Autor:
Mohammed, Sarmad N., Gündüç, Semra
Publikováno v:
Kybernetika. :234-253
In this work, Transition Probability Matrix (TPM) is proposed as a new method for extracting the features of nodes in the graph. The proposed method uses random walks to capture the connectivity structure of a node's close neighborhood. The informati
Autor:
Dmitry Bagaev, Bert de Vries
Publikováno v:
arXiv, 2021:2112.13251. Cornell University Library
We introduce Reactive Message Passing (RMP) as a framework for executing schedule-free, robust and scalable message passing-based inference in a factor graph representation of a probabilistic model. RMP is based on the reactive programming style that
Autor:
Kononova, Anna V., Vermetten, Diederick, Caraffini, Fabio, Mitran, Madalina-A., Zaharie, Daniela
Publikováno v:
Evolutionary Computation. :1-46
We argue that results produced by a heuristic optimisation algorithm cannot be considered reproducible unless the algorithm fully specifies what should be done with solutions generated outside the domain, even in the case of simple bound constraints.