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Machine Learning for Pattern Recognition (2nd Edition), (Hardcover)

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Management number 238820835 Release Date 2026/07/11 List Price US$42.35 Model Number 238820835
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<p>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.</p><p>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.</p>

  • Machine Learning for Pattern Recognition (2nd Edition), (Hardcover)
  • Author: Mdpi AG
  • ISBN: 9783725863501
  • Format: Hardcover
  • Publication Date: 2026-02-02
  • Page Count: 284
Book format Hardcover
Fiction/nonfiction Non-Fiction
Genre Computing & Internet
Publication date February, 2026
Pages 284
Subgenre Computer Science
Series title No Series
Number in series 0
Edition 1
Publisher Mdpi AG
Original languages English
Language English
Is collectible N
Binding type Case Binding
Retail packaging Single Piece
Assembled product dimensions (l x w x h) 6.69 x 0.94 x 9.61 in
Assembled product weight 1.79 lb
Bisac subject heading Computers

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