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Více informací o knize Advances in Feature Selection for Data and Pattern Recognition

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Anotace knihy

This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of recent advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analyzing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts - nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professors and practitioners.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Advances in Feature Selection for Data and Pattern Recognition
• Autor: Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 328
• EAN: 9783319675879
• ISBN: 3319675877
• ID: 17963698
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 6447 g
• Rozměry: 235 × 155 × 25 mm
• Datum vydání: 27. November 2017

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