Progress in Pattern Classification and Machine Learning (Paperback)

Pawel Trajdos

ISBN 10: 3032017726 / ISBN 13: 9783032017727

Verlag: Springer Nature Switzerland AG, Cham, 2025

Beschreibung

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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verkäufers 9783032017727

Bibliografische Details

• Titel: Progress in Pattern Classification and Machine Learning (Paperback)
• Verlag: Springer Nature Switzerland AG, Cham
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-10: 3032017726
• ISBN-13: 9783032017727
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.