International Journal of Machine Learning and Cybernetics

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A novel consensus model with probabilistic linguistic preference relation for the utilization mode selection of renewable energy sources
International Journal of Machine Learning and Cybernetics - Tập 14 Số 5 - Trang 1845-1861 - 2023
Xinli You, Fujun Hou
Face sketch-photo recognition using local gradient checksum: LGCS
International Journal of Machine Learning and Cybernetics - Tập 8 Số 5 - Trang 1457-1469 - 2017
Hiranmoy Roy, Debotosh Bhattacharjee
Robust stability analysis of uncertain genetic regulatory networks with mixed time delays
International Journal of Machine Learning and Cybernetics - Tập 7 - Trang 1005-1022 - 2014
Xiaowei Zhang, Ruoxia Li, Chao Han, Rong Yao
This study is concerned with the robust stability problem of uncertain genetic regulatory networks (GRNs) with random discrete time delays and distributed time delays which exist both in translation process and feedback regulation process. By utilizing a novel Lyapunov–Krasovskii functional which contains some triple integral terms and takes into account the ranges of delays, we derive sufficient ...... hiện toàn bộ
New advances in three-way decision, granular computing and concept lattice
International Journal of Machine Learning and Cybernetics - Tập 11 - Trang 945-946 - 2020
Xizhao Wang, Jinhai Li
Three-way conceptual approach for cognitive memory functionalities
International Journal of Machine Learning and Cybernetics - Tập 8 - Trang 21-34 - 2016
Radhika Shivhare, Aswani Kumar Cherukuri
Human brain represents the information and stores it as memory. They are stored in different parts of the brain and are linked together by associations. When a cue is provided, the memory is recalled through association. Encoding of the real world information is in the form of object-attribute relation. It is possible to perform both positive recall (object having the attribute and attribute share...... hiện toàn bộ
A decomposition based multiobjective evolutionary algorithm with self-adaptive mating restriction strategy
International Journal of Machine Learning and Cybernetics - Tập 10 - Trang 3017-3030 - 2019
Xin Li, Hu Zhang, Shenmin Song
MOEA/D decomposes the multiobjective optimization problem into a number of subproblems. However, one subproblem’s requirement for exploitation and exploration varies with the evolutionary process. Furthermore, different subproblems’ requirements for exploitation and exploration are also different as the subproblems have been solved in distinct degree. This paper proposes a decomposition based mult...... hiện toàn bộ
New results on convergence of fuzzy cellular neural networks with multi-proportional delays
International Journal of Machine Learning and Cybernetics - Tập 9 - Trang 1675-1682 - 2017
Gang Yang
In this paper, we propose and study the global exponential convergence of a class of fuzzy cellular neural networks with multi-proportional delays, which has not been studied in the existing literature. Applying the differential inequality technique and Lyapunov functional method, we establish a set of global exponential convergence criteria. The sufficient criteria can be easily tested in practic...... hiện toàn bộ
Hand gesture recognition using machine learning and infrared information: a systematic literature review
International Journal of Machine Learning and Cybernetics - Tập 12 Số 10 - Trang 2859-2886 - 2021
Rubén Nogales, Marco E. Benalcázar
Universal consistency of twin support vector machines
International Journal of Machine Learning and Cybernetics - Tập 12 Số 7 - Trang 1867-1877 - 2021
Weiya Xu, Daren Huang, Shuigeng Zhou
AbstractA classification problem aims at constructing a best classifier with the smallest risk. When the sample size approaches infinity, the learning algorithms for a classification problem are characterized by an asymptotical property, i.e., universal consistency. It plays a crucial role in measuring the construction of classification rules. A universal consisten...... hiện toàn bộ
A cascaded embedding method with graph neural network for multi-behavior recommendation
International Journal of Machine Learning and Cybernetics - - Trang 1-14 - 2023
Shaopeng Jiang, Chao Zhao
In recommender systems, implicit feedback data is relatively cheap and easy to obtain compared to explicit feedback data, making it widely used in modeling. However, some works consider only single type of user behavior, while in reality, user feedback types are complex and diverse, with great semantic uncertainty. Graph neural networks (GNN) have gradually become a new paradigm in the recommendat...... hiện toàn bộ
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