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Scalable Pattern Recognition Algorithms
Applications in Computational Biology and Bioinformatics
Pradipta Maji, Sushmita Paul
Livre relié | Anglais
105,45 €
+ 210 points
Format
Description
This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 304
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9783319056296
- Date de parution :
- 04-04-14
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 155 mm x 234 mm
- Poids :
- 771 g
