Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond
Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond
Buch
- Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10¿12, 2024
- Herausgeber: Thomas Villmann, Frank-Michael Schleif, Tina Geweniger, Marika Kaden
- Springer Nature Switzerland, 08/2024
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031671586
- Bestellnummer: 11937064
- Umfang: 244 Seiten
- Auflage: 2024
- Gewicht: 376 g
- Maße: 235 x 155 mm
- Stärke: 14 mm
- Erscheinungstermin: 2.8.2024
- Serie: Lecture Notes in Networks and Systems - Band 1087
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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 in the latest developments in interpretable and robust unsupervised learning, data visualization, classification and self-organization.
Biografie (Thomas Villmann)
Die vorliegende Arbeit entstand im wesentlichen am Institut für Informatik der Universität Leipzig in der Forschungsgruppe Neuroinformatik, der der Autor von 1991 bis 1994 angehörte. Sie wurde 1996 als Dissertationsschrift angenommen, der Betreuer war Dr. habil. Ralf Der. Neben der Theorie und Anwendung neuronaler Netze arbeitet der Autor auf den Gebieten Genetische Algorithmen, maschinelle Lernverfahren, Optimierung und Statistik.Mehr von Lecture Notes i...
![Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation, Buch](https://wom.de/image/h90/front/0/9783031674433.jpg)
Allam Hamdan
Navigating the Technological Tide: The Evolution and Challenges of Business Model Innovation
Buch
EUR 219,03*
![Proceedings of the International Symposium on Intelligent Computing and Networking 2024, Buch](https://wom.de/image/h90/front/0/9783031674464.jpg)
Michel Kadoch
Proceedings of the International Symposium on Intelligent Computing and Networking 2024
Buch
EUR 219,03*
![Emerging Challenges in Intelligent Management Information Systems, Buch](https://wom.de/image/h90/front/0/9783031667602.jpg)
Jaros¿aw W¿tróbski
Emerging Challenges in Intelligent Management Information Systems
Buch
EUR 219,03*
![Intelligent Systems Design and Applications, Buch](https://wom.de/image/h90/front/0/9783031648496.jpg)
Ajith Abraham
Intelligent Systems Design and Applications
Buch
EUR 240,94*
![Intelligent Systems and Applications, Buch](https://wom.de/image/h90/front/0/9783031663352.jpg)
Kohei Arai
Intelligent Systems and Applications
Buch
EUR 219,03*