Back to Search
Start Over
Metaheuristics for Machine Learning : New Advances and Tools
- Publication Year :
- 2023
-
Abstract
- Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.
- Subjects :
- Machine learning
Artificial intelligence
Computer science
Subjects
Details
- Language :
- English
- ISBNs :
- 9789811938870 and 9789811938887
- Database :
- eBook Index
- Journal :
- Metaheuristics for Machine Learning : New Advances and Tools
- Publication Type :
- eBook
- Accession number :
- 3573526