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Machine Learning for Pattern Recognition (2nd Edition) 
 

(Buch)
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


Übersicht

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Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:  Februar 2026  
Genre:  Ratgeber 
 
convolutional neural network / Deep Learning Algorithm / Pipeline
ISBN:  9783725863501 
EAN-Code: 
9783725863501 
Verlag:  Mdpi Ag 
Einband:  Gebunden  
Sprache:  English  
Dimensionen:  H 250 mm / B 175 mm / D 23 mm 
Gewicht:  910 gr 
Seiten:  284 
Bewertung: Titel bewerten / Meinung schreiben
Inhalt:
In the recent digital age, machine learning technology has made significant progress, revolutionizing applications in fields such as image recognition, speech processing, and natural language processing. These technologies have not only changed our daily lives but have also had a profound impact on medicine, finance, transportation, and other fields. However, pattern recognition, as an important branch of machine learning, still has many challenges and problems. This 2nd edition Reprint brings together contributions from leading experts in their fields. Each paper provides valuable insights into the latest trends, methods, and challenges in state-of-the-art applications of machine learning for pattern recognition. In addition, the studies in each paper not only showcase the latest advancements in machine learning algorithms but also discuss their successful applications and the challenges encountered in real-world scenarios. As Guest Editors, we are honored to present this 2nd edition Reprint, and we hope that readers, whether researchers, engineers, or students, will find inspiration and guidance in these papers as they explore the growing field of machine learning for pattern recognition. We express our gratitude to the authors for their outstanding contributions, to the reviewers for their critical evaluation, and to the Assistant Editor, Mr. Musea Wu, for his enthusiastic help. We are also sincerely grateful to our readers, whose curiosity and enthusiasm continue to drive innovation in this exciting field.

  



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