Progress in Pattern Classification and Machine Learning (Paperback)

Pawel Trajdos

ISBN 10: 3032017726 / ISBN 13: 9783032017727

Published by Springer Nature Switzerland AG, Cham, 2025

About this Item

Paperback. This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition.The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results.Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9783032017727

Bibliographic Details

• Title: Progress in Pattern Classification and Machine Learning (Paperback)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2025
• Language: English
• ISBN 10: 3032017726
• ISBN 13: 9783032017727
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the comprehensive study on this field to date, it gathers 11 carefully selected articles contributed by experts on pattern recognition.
The accepted papers address current computer science and computer systems related technological challenges and solutions, as well as many practical applications areas of pattern recognition and machine learning results.
Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science and artificial intelligence. We believe that this book will be also interesting for practitioners in many fields of computer science and IT applications.