Computational Methods and Application in Machine Learning
The present reprint contains 17 in total articles that are accepted and published in the Special Issue “Computational Methods and Application in Machine Learning, 2023” of the MDPI Mathematics journal. The articles cover a wide range of topics with respect to the theory and applications of the compu...
I tiakina i:
| Hōputu: | Online |
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| Reo: | Ingarihi |
| I whakaputaina: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Ngā marau: | |
| Urunga tuihono: | ONIX_20250220_9783725828197_448 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| _version_ | 1869524085521776640 |
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| collection | Directory of Open Access Books |
| description | The present reprint contains 17 in total articles that are accepted and published in the Special Issue “Computational Methods and Application in Machine Learning, 2023” of the MDPI Mathematics journal. The articles cover a wide range of topics with respect to the theory and applications of the computational method in machine learning. These keywords include artificial intelligence big data and analysis, machine learning, deep learning, natural language understanding, pattern recognition, computer vision, information retrieval, data mining, bioinformatics and biomedical applications, reinforcement learning, multimedia analysis and retrieval, multimodal representation learning, feature selection, clustering, etc. Machine learning is an interdisciplinary subject involving probability theory, statistics, approximation theory, convex analysis, optimization, algorithm complexity theory, etc. It focuses on how computers simulate or realize human learning behaviors in order to obtain new knowledge or skills. It is the core of artificial intelligence. In essence, the aim of machine learning is to enable computers to simulate human learning behaviors, automatically acquire knowledge and skills through learning, continuously improve performance, and realize artificial intelligence. We hope the reprint will be interesting and useful for those working in the area of computational methods, machine learning, and artificial intelligence, in addition to those who have a proper mathematical background and are willing to become familiar with recent advances in machine learning, which has entered almost all human life and activity sectors. |
| format | Online |
| id | doab-20.500.12854ir-153084 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1530842025-02-20T13:32:04Z Computational Methods and Application in Machine Learning Tian, Chunwei Liu, Huawen Zhang, Chengyuan Yu, Weiren artificial intelligence big data and analysis machine learning deep learning natural language understanding pattern recognition computer vision data mining reinforcement learning multimedia analysis and retrieval multimodal representation learning feature selectionclustering. thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science The present reprint contains 17 in total articles that are accepted and published in the Special Issue “Computational Methods and Application in Machine Learning, 2023” of the MDPI Mathematics journal. The articles cover a wide range of topics with respect to the theory and applications of the computational method in machine learning. These keywords include artificial intelligence big data and analysis, machine learning, deep learning, natural language understanding, pattern recognition, computer vision, information retrieval, data mining, bioinformatics and biomedical applications, reinforcement learning, multimedia analysis and retrieval, multimodal representation learning, feature selection, clustering, etc. Machine learning is an interdisciplinary subject involving probability theory, statistics, approximation theory, convex analysis, optimization, algorithm complexity theory, etc. It focuses on how computers simulate or realize human learning behaviors in order to obtain new knowledge or skills. It is the core of artificial intelligence. In essence, the aim of machine learning is to enable computers to simulate human learning behaviors, automatically acquire knowledge and skills through learning, continuously improve performance, and realize artificial intelligence. We hope the reprint will be interesting and useful for those working in the area of computational methods, machine learning, and artificial intelligence, in addition to those who have a proper mathematical background and are willing to become familiar with recent advances in machine learning, which has entered almost all human life and activity sectors. 2025-02-20T13:32:02Z 2025-02-20T13:32:02Z 2024 book ONIX_20250220_9783725828197_448 9783725828197 9783725828203 https://directory.doabooks.org/handle/20.500.12854/153084 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10298 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2820-3 10.3390/books978-3-7258-2820-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725828197 9783725828203 306 Basel open access |
| spellingShingle | artificial intelligence big data and analysis machine learning deep learning natural language understanding pattern recognition computer vision data mining reinforcement learning multimedia analysis and retrieval multimodal representation learning feature selectionclustering. thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science Computational Methods and Application in Machine Learning |
| title | Computational Methods and Application in Machine Learning |
| title_full | Computational Methods and Application in Machine Learning |
| title_fullStr | Computational Methods and Application in Machine Learning |
| title_full_unstemmed | Computational Methods and Application in Machine Learning |
| title_short | Computational Methods and Application in Machine Learning |
| title_sort | computational methods and application in machine learning |
| topic | artificial intelligence big data and analysis machine learning deep learning natural language understanding pattern recognition computer vision data mining reinforcement learning multimedia analysis and retrieval multimodal representation learning feature selectionclustering. thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science |
| topic_facet | artificial intelligence big data and analysis machine learning deep learning natural language understanding pattern recognition computer vision data mining reinforcement learning multimedia analysis and retrieval multimodal representation learning feature selectionclustering. thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250220_9783725828197_448 |