Suchergebnisse - data-mining based evolution learning algorithm

Data mining–based hierarchical cooperative coevolutionary algorithm for TSK-type neuro-fuzzy networks design von Hsu, Chi-Yao, Lin, Sheng-Fuu, Chang, Jyun-Wei

“… This study proposes a data mining–based hierarchical cooperative coevolutionary algorithm (DMHCCA …”
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A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification von Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“… • A novel multi-objective differential evolution algorithm based classifier ensemble for text sentiment classification …”
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Kids Learning Optimizer: social evolution and cognitive learning-based optimization algorithm von Javed, Sobia Tariq, Zafar, Kashif, Younas, Irfan

“… This paper proposes a novel social cognitive learning-based metaheuristic called kids Learning Optimizer (KLO …”
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Advancing educational data mining for enhanced student performance prediction: a fusion of feature selection algorithms and classification techniques with dynamic feature ensemble evolution von Malik, Saleem, Patro, S. Gopal Krishna, Mahanty, Chandrakanta, Hegde, Rashmi, Naveed, Quadri Noorulhasan, Lasisi, Ayodele, Buradi, Abdulrajak, Emma, Addisu Frinjo, Kraiem, Naoufel

“… The integration of technology into educational institutions has led to the generation of vast data, creating opportunities for Educational Data Mining (EDM …”
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Evolution of Machine Learning in Tuberculosis Diagnosis: A Review of Deep Learning-Based Medical Applications von Singh, Manisha, Pujar, Gurubasavaraj Veeranna, Kumar, Sethu Arun, Bhagyalalitha, Meduri, Akshatha, Handattu Shankaranarayana, Abuhaija, Belal, Alsoud, Anas Ratib, Abualigah, Laith, Beeraka, Narasimha M., Gandomi, Amir H.

“… This review is focused on the limitations of conventional TB diagnostics and a broad description of various machine learning algorithms and their applications in TB diagnosis …”
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DRMM: A novel data mining-based emotion transfer detecting method for emotion prediction of social media von Shi, Wei, Xue, Guangcong, Yin, Xicheng, He, Shaoyi, Wang, Hongwei

“… At present, most of the existing methods use econometric model and machine learning algorithm to predict the trend of online public opinion …”
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MINAS: multiclass learning algorithm for novelty detection in data streams von de Faria, Elaine Ribeiro, Ponce de Leon Ferreira Carvalho, André Carlos, Gama, João

“… This work proposes MINAS, an algorithm for ND in data streams. MINAS deals with ND …”
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Energy-Saving Optimization Method of Urban Rail Transit Based on Improved Differential Evolution Algorithm von Lu, Guancheng, He, Deqiang, Zhang, Jinlai

“… Firstly, after analyzing the relationship between the idle distance and running energy-savings, an optimization method of traction energy-savings based on the combination of the inertia motion …”
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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning von Ding, Junyao, Du, Jianchao, Wang, Hejie, Xiao, Song

“… This paper proposes a two-stage feature selection method based on random forest and improved genetic algorithm …”
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Machine Learning and Big Data Mining Reveal Earth's Deep Time Crustal Thickness and Tectonic Evolution: A New Chemical Mohometry Approach von Zhou, Jianping, Farahbakhsh, Ehsan, Williams, Simon, Li, Xiaohui, Liu, Yongjiang, Li, Sanzhong, Müller, R. Dietmar

“… Quantitative analysis of crustal thickness evolution across deep time poses critical insights into the planet's geological history …”
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A New Machine Learning Algorithm for Regional Low-Carbon Economic Development Analysis Based on Data Mining von Liu, Xinlei

“… The huge market demand for location-based information services provides huge impetus to the generation and development of mobile terminal positioning technology …”
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A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs von Zhang, Jiangchuan, Bu, Yude, Zhang, Mengmeng, Xie, Duo, Yi, Zhenping

“… In recent years, machine learning has played a significant role in astronomical data mining, due to its speed, real time, and precision …”
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An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems von Faris, Hossam, Mafarja, Majdi M., Heidari, Ali Asghar, Aljarah, Ibrahim, Al-Zoubi, Ala’ M., Mirjalili, Seyedali, Fujita, Hamido

“… •Two wrapper feature selection approaches using Salp Swarm Algorithm are proposed …”
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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm von Wu, Yanhong

“… This study provides a genetic algorithm-based optimization framework for learning paths that simulates selection, crossover, and mutation operations in biological evolution …”
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A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem von Li, Yibing, Liu, Jie, Wang, Lei, Liu, Jinfu, Tang, Hongtao, Guo, Jun, Xu, Wenxiang

“… stability of the solution result. However, data mining has a good performance in solving large-scale scheduling problems …”
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The workshop scheduling problems based on data mining and particle swarm optimisation algorithm in machine learning areas von Su, Yingying, Han, Lianjuan, Wang, Huimin, Wang, Jianan

“… Finally, the global optimal solution can be searched by using the strong ability of genetic algorithm to jump out of local optimal to ensure that population evolution …”
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An Effective Training Method for Counterfactual Multi-Agent Policy Network Based on Differential Evolution Algorithm von Qu, Shaochun, Guo, Ruiqi, Cao, Zijian, Liu, Jiawei, Su, Baolong, Liu, Minghao

“… ’ policies, counterfactual multi-agent (COMA) stands out in most multi-agent reinforcement learning (MARL) algorithms …”
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An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems von Rauf, Hafiz Tayyab, Bangyal, Waqas Haider Khan, Lali, M. Ikramullah

“… Differential evolution (DE) is recognized as a simplistic yet robust evolutionary algorithm …”
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Robust Prototype-Based Learning on Data Streams von Shao, Junming, Huang, Feng, Yang, Qinli, Luo, Guangchun

“… by dynamically maintaining a set of prototypes in a proposed P-Tree, which are obtained based on the error-driven representativeness learning and synchronization-inspired constrained clustering …”
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Improved Binary Meerkat Optimization Algorithm for efficient feature selection of supervised learning classification von Hussien, Reda M., Abohany, Amr A., Abd El-Mageed, Amr A., Hosny, Khalid M.

“… Feature selection (FS) is a crucial step in machine learning and data mining projects …”
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