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
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
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
Handwritten character recognition using wavelet energy and extreme learning machine
International Journal of Machine Learning and Cybernetics - Tập 3 - Trang 149-161 - 2011
Binu P. Chacko, V. R. Vimal Krishnan, G. Raju, P. Babu Anto
This paper deals with the recognition of handwritten Malayalam character using wavelet energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a new and robust parameter, and is derived using wavelet transform. It can reduce the influences of different types of noise at different levels. WEF can reflect the WE distribution of characters in several directions at differen...... hiện toàn bộ
A fast template matching-based algorithm for railway bolts detection
International Journal of Machine Learning and Cybernetics - Tập 5 - Trang 835-844 - 2014
Yunguang Dou, Yaping Huang, Qingyong Li, Siwei Luo
Railway bolts detection is an important task in railway maintenance and some techniques based on traditional feature extraction and classification have been used in this application. However, these techniques have two critical disadvantages, i.e., manual collection of training data set and time-consuming training process; furthermore, trained classifiers are hard to generalize from a specific rail...... hiện toàn bộ
Fuzzy principal-agent model for optimal supplier switching with asymmetric information
International Journal of Machine Learning and Cybernetics - Tập 6 - Trang 7-15 - 2014
Mingmao Hu, Baoen Guo, Haitao Liu
This paper studies a fuzzy principal-agent problem for supplier switching with taking into account the asymmetric information and the competition effect where the buying firm’s assessment to the entrant supplier’s cost is described as a fuzzy variable. The supplier switching model is set up to minimize the buying firm’s total procurement cost which includes the transfer payment to the entrant supp...... hiện toàn bộ
Three-way recommendation for a node and a community on social networks
International Journal of Machine Learning and Cybernetics - Tập 13 - Trang 2909-2927 - 2022
Yingxiao Chen, Ping Zhu
Compared to the traditional two-way decision making, three-way decision model with a third pending decision has been widely applied since it was put forward. Now it has become a methodology for solving problems in many fields. In social networks, recommending each other between a node and a community has attracted lots of attention. In this paper, we make three-way recommendation for a node and a ...... hiện toàn bộ
Incremental extreme learning machine based on deep feature embedded
International Journal of Machine Learning and Cybernetics - Tập 7 - Trang 111-120 - 2015
Jian Zhang, Shifei Ding, Nan Zhang, Zhongzhi Shi
Extreme learning machine (ELM) algorithm is used to train Single-hidden Layer Feed forward Neural Networks. And Deep Belief Network (DBN) is based on Restricted Boltzmann Machine (RBM). The conventional DBN algorithm has some insufficiencies, i.e., Contrastive Divergence (CD) Algorithm is not an ideal approximation method to Maximum Likelihood Estimation. And bad parameters selected in RBM algorit...... hiện toàn bộ
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