Description: Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond by Thomas Villmann, Marika Kaden, Tina Geweniger, Frank-Michael Schleif Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Details ISBN 3031671589 ISBN-13 9783031671586 Title Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond Author Thomas Villmann, Marika Kaden, Tina Geweniger, Frank-Michael Schleif Format Paperback Year 2024 Pages 228 Edition 2024th Publisher Springer International Publishing AG GE_Item_ID:161183178; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 241.46 USD
Location: Fairfield, Ohio
End Time: 2024-11-07T01:51:47.000Z
Shipping Cost: 0 USD
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9783031671586
Book Title: Advances in Self-Organizing Maps, Learning Vector Quantization, I
Number of Pages: Xiii, 228 Pages
Language: English
Publication Name: Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond : Proceedings of the 15th International Workshop, WSOM+ 2024, Mittweida, Germany, July 10-12 2024
Publisher: Springer
Subject: Engineering (General), Intelligence (Ai) & Semantics
Publication Year: 2024
Type: Textbook
Item Length: 9.3 in
Subject Area: Computers, Technology & Engineering
Author: Marika Kaden
Series: Lecture Notes in Networks and Systems Ser.
Item Width: 6.1 in
Format: Trade Paperback
