| 期刊全称 | Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and | | 期刊简称 | Proceedings of the 1 | | 影响因子2023 | Thomas Villmann,Marika Kaden,Frank-Michael Schleif | | 视频video | | | 发行地址 | Provides recent research in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization.Presents computational aspects and applications for data mining and visualization.Con | | 学科分类 | Lecture Notes in Networks and Systems | | 图书封面 |  | | 影响因子 | .The book presents the peer-reviewed contributions of the 15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM$+$ 2024), held at the University of Applied Sciences Mittweida (UAS Mitt-weida), Germany, on July 10–12, 2024..The book highlights new developments in the field of interpretable and explainable machine learning for classification tasks, data compression and visualization. Thereby, the main focus is on prototype-based methods with inherent interpretability, computational sparseness and robustness making them as favorite methods for advanced machine learning tasks in a wide variety of applications ranging from biomedicine, space science, engineering to economics and social sciences, for example. The flexibility and simplicity of those approaches also allow the integration of modern aspects such as deep architectures, probabilistic methods and reasoning as well as relevance learning. The book reflects both new theoretical aspects in this research area and interesting application cases. .Thus, this book is recommended for researchers and practitioners in data analytics and machine learning, especially those who are interested i | | Pindex | Conference proceedings 2024 |
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书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 影响因子(影响力)
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 影响因子(影响力)学科排名
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 网络公开度
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 网络公开度学科排名
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 被引频次
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 被引频次学科排名
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 年度引用
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 年度引用学科排名
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 读者反馈
书目名称Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and 读者反馈学科排名
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发表于 2025-3-21 18:31:51
