Recent Advances in Machine Learning and Computational Intelligence
Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate...
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| Format: | Online |
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| Sprache: | Englisch |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Online-Zugang: | ONIX_20230623_9783036574820_57 |
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| _version_ | 1869527313311334400 |
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| collection | Directory of Open Access Books |
| description | Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence. |
| format | Online |
| id | doab-20.500.12854ir-100825 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1008252024-03-30T12:51:29Z Recent Advances in Machine Learning and Computational Intelligence Wu, Yue Zhang, Xinglong Jia, Pengfei left ventricle segmentation UNet 3+ encoder–decoder transformer magnetic resonance imaging beta function crow search algorithm dynamic multi-objective optimization problems evolutionary algorithm many-objective optimization problems naive Bayesian classifier attribute independence assumption mixed-attribute classification conditional probability Bayesian network attribute transformation subsection proximal policy optimization weighted importance sampling TORCS vehicle-following autonomous driving credit scoring machine learning deep learning model predictive control reinforcement learning parameter adaptive quadruped robot facial skin problem mask R-CNN super resolution Generative Adversarial Network (GAN) tactics for high performance R5DOS intersection matrix RJA-star algorithm jump point search algorithm path planning sentiment analysis cross-validation vectorization feature importance differential evolution strategy global search optimization optimization algorithm search accuracy weighted mean of vectors n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence. 2023-06-23T09:45:50Z 2023-06-23T09:45:50Z 2023 book ONIX_20230623_9783036574820_57 9783036574820 9783036574837 https://directory.doabooks.org/handle/20.500.12854/100825 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7288 https://mdpi.com/books/pdfview/book/7288 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-7483-7 10.3390/books978-3-0365-7483-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036574820 9783036574837 216 Basel open access |
| spellingShingle | left ventricle segmentation UNet 3+ encoder–decoder transformer magnetic resonance imaging beta function crow search algorithm dynamic multi-objective optimization problems evolutionary algorithm many-objective optimization problems naive Bayesian classifier attribute independence assumption mixed-attribute classification conditional probability Bayesian network attribute transformation subsection proximal policy optimization weighted importance sampling TORCS vehicle-following autonomous driving credit scoring machine learning deep learning model predictive control reinforcement learning parameter adaptive quadruped robot facial skin problem mask R-CNN super resolution Generative Adversarial Network (GAN) tactics for high performance R5DOS intersection matrix RJA-star algorithm jump point search algorithm path planning sentiment analysis cross-validation vectorization feature importance differential evolution strategy global search optimization optimization algorithm search accuracy weighted mean of vectors n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science Recent Advances in Machine Learning and Computational Intelligence |
| title | Recent Advances in Machine Learning and Computational Intelligence |
| title_full | Recent Advances in Machine Learning and Computational Intelligence |
| title_fullStr | Recent Advances in Machine Learning and Computational Intelligence |
| title_full_unstemmed | Recent Advances in Machine Learning and Computational Intelligence |
| title_short | Recent Advances in Machine Learning and Computational Intelligence |
| title_sort | recent advances in machine learning and computational intelligence |
| topic | left ventricle segmentation UNet 3+ encoder–decoder transformer magnetic resonance imaging beta function crow search algorithm dynamic multi-objective optimization problems evolutionary algorithm many-objective optimization problems naive Bayesian classifier attribute independence assumption mixed-attribute classification conditional probability Bayesian network attribute transformation subsection proximal policy optimization weighted importance sampling TORCS vehicle-following autonomous driving credit scoring machine learning deep learning model predictive control reinforcement learning parameter adaptive quadruped robot facial skin problem mask R-CNN super resolution Generative Adversarial Network (GAN) tactics for high performance R5DOS intersection matrix RJA-star algorithm jump point search algorithm path planning sentiment analysis cross-validation vectorization feature importance differential evolution strategy global search optimization optimization algorithm search accuracy weighted mean of vectors n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | left ventricle segmentation UNet 3+ encoder–decoder transformer magnetic resonance imaging beta function crow search algorithm dynamic multi-objective optimization problems evolutionary algorithm many-objective optimization problems naive Bayesian classifier attribute independence assumption mixed-attribute classification conditional probability Bayesian network attribute transformation subsection proximal policy optimization weighted importance sampling TORCS vehicle-following autonomous driving credit scoring machine learning deep learning model predictive control reinforcement learning parameter adaptive quadruped robot facial skin problem mask R-CNN super resolution Generative Adversarial Network (GAN) tactics for high performance R5DOS intersection matrix RJA-star algorithm jump point search algorithm path planning sentiment analysis cross-validation vectorization feature importance differential evolution strategy global search optimization optimization algorithm search accuracy weighted mean of vectors n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20230623_9783036574820_57 |