A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function by Mingmin Zhu, Sanyang Liu

“…But almost existing algorithms have the very high complexity when the number of variables is large. …”
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Optimization of data allocation in hierarchical memory for blocked shortest paths algorithms by A. A. Prihozhy

Subjects: “…shortest paths algorithm…”
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Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model by Hui Teng, Yukun Ma, Di Teng

“…The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. …”
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A study on Pufferfish privacy algorithm based on Gaussian mixture models by Weisan Wu

“…This paper introduces an innovative Pufferfish privacy algorithm based on Gaussian priors, specifically designed for Gaussian mixture models. …”
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Blind video watermarking algorithm based on correlations between neighboring frames by GAO Qi, LI Ren-hou, LIU Lian-shan

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Risk assessment and prevention in airport security assurance by integrating LSTM algorithm. by Yao Hu, Liguang Qiao, Feng Gu

“…It can be summarized that the algorithmic model has good accuracy and robustness. …”
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A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation by Changxi Ma, Wei Hao, Ruichun He, Bahman Moghimi

“…Moreover, a fuzzy C-means clustering-particle swarm optimization (FCMC-PSO) algorithm is designed, and the FCMC algorithm is used to cluster the demand points. …”
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Retracted: Analysis of Brand Visual Design Based on Collaborative Filtering Algorithm by Discrete Dynamics in Nature and Society

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Time Series Symbolization Method for the Data Mining K-Means Algorithm by Guisheng Wang

“…Based on this, this article proposes an improved sans algorithm based on the K-means algorithm and discusses the representation method and the data processing of time series symbolization. …”
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Self-adaptive differential evolution algorithm based on population state information by Weijie MAI, Weili LIU, Jinghui ZHONG

“…The local optimum and stagnation state information of the population seriously affects the performance of differential evolution (DE) algorithm.An advanced DE algorithm with population state processing measures was proposed to address the above two issues.When the population falled into the local optimum, the individuals in the population were learned randomly by LBFGS method to improve the global quality of the solution, and Gaussian mutation was employed to trigger new individuals to jump out of local optimum.As for the stagnation state, the covariance matrix of the population was applied to reorganize the target individuals based on the rotation of the spatial coordinates to suppress the stagnation state of the population and enhance the global search ability of the algorithm.In addition, a new selection strategy was designed, which built an external archive to store abandoned individuals after greedy selection.When the trial individual was inferior to the target individual, the algorithm no longer generated the next generation with greedy selection strategy, but made reasonable intelligent selection around the external archive to ensure that the algorithm converges to the global optimum.Compared with eight state-of-the-art DE algorithms on 29 benchmark functions, the experimental results show that the proposed algorithm has better performance in terms of the solution accuracy and convergence speed.…”
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Algorithm of underdetermined convolutive blind source separation for high reverberation environment by Yuan XIE, Tao1 ZOU, Weijun SUN, Shengli XIE

“…To separate the underdetermined convolutive mixture signals in the high reverberation environment, a novel algorithm of underdetermined convolutive blind source separation was proposed.Aiming at the influence of high reverberation environment, a global impulse response network was designed to weaken reverberation echo, improving signal quality.A new mathematical model of time-frequency mixing signals was established based on the global impulse response network.The global impulse response matrix which shortened the length of the traditional impulse response, reduced the approximation error of model transformation caused by high reverberation.The real-time update learning rules of model parameters were designed based on the theory of nonnegative matrix factorization, and the source signal separation problem was converted into the model parameter optimization problem, achieving blind source separation of mixing signals.Experimental results show that the proposed algorithm can effectively realize the blind source separation of Chinese and English speech and music signals, and the comparision with existing popular algorithms verified the superiority of the proposed algorithm.…”
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Dynamic decomposition and hyper-distance based many-objective evolutionary algorithm by Xujian Wang, Fenggan Zhang, Minli Yao

“…Abstract Nowadays many algorithms have appeared to solve many-objective optimization problems (MaOPs), yet the balance between convergence and diversity is still an open issue. …”
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RELIABILITY ANALYSIS OF RIGHT CENSORED WEIBULL DISTRIBUTION BASED ON GENETIC ALGORITHM by ZHANG Qing, ZHENG Yan, WANG Xuan, MA Min, WANG WenBo

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Automatic Algorithm for Fractal Plant Art Image Similarity Feature Generation by Zhizhe Liu, Luo Sun

“…The scheme combines SIFT (scale-invariant feature transform) feature secure extraction and locally sensitive hashing algorithm to achieve secure extraction of BOVW features of images. …”
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A practical adaptive nonlinear tracking algorithm with range rate measurement by Haiyan Yang, Hongqiang Liu, Zhongliang Zhou, An Xu

“…Then, a novel tracking algorithm with range rate measurement is proposed based on the cumulative sum detector and the above two kinds of nonlinear algorithms. …”
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Interconnection algorithm of a wide range of pervasive devices for the Internet of things by Tao Chi, Ming Chen

“…We have implemented our algorithms on a field-programmable gate array and applied them to some off-the-shelf products. …”
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Investigating the effects of hyperparameter sensitivity on machine learning algorithms for PV forecasting by Ehtsham Muhammad, Rotilio Marianna, Cucchiella Federica, Di Giovanni Gianni, Schettini Domenico

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Classification Formula and Generation Algorithm of Cycle Decomposition Expression for Dihedral Groups by Dakun Zhang, Yonggang Lin, Guozhi Song

“…It includes the reflection and rotation conversion, which derived six common formulae on cycle decomposition expressions of group; it designed the generation algorithm on the cycle decomposition expressions of group, which is based on the method of replacement conversion and the classification formula; algorithm analysis and the results of the process show that the generation algorithm which is based on the classification formula is outperformed by the general algorithm which is based on replacement conversion; it has great significance to solve the enumeration of the necklace combinational scheme, especially the structural problems of combinational scheme, by using group theory and computer.…”
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Perfect space-time block codes and high performance decoding algorithm by HU Jun-feng1, YANG Yuan1, ZHANG Hai-lin1

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Spoofing speech detection algorithm based on joint feature and random forest by Jiaqi YU, Zhihua JIAN, Jia XU, Lin YOU, Yunlu WANG, Chao WU

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