Machine Learning and Metaheuristics: Methods and Analysis

Machine Learning and Metaheuristics: Methods and Analysis
Author :
Publisher : Springer Nature
Total Pages : 304
Release :
ISBN-10 : 9789819966455
ISBN-13 : 9819966450
Rating : 4/5 (450 Downloads)

Book Synopsis Machine Learning and Metaheuristics: Methods and Analysis by : Uma N. Dulhare

Download or read book Machine Learning and Metaheuristics: Methods and Analysis written by Uma N. Dulhare and published by Springer Nature. This book was released on 2023-12-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.


Machine Learning and Metaheuristics: Methods and Analysis Related Books

Machine Learning and Metaheuristics: Methods and Analysis
Language: en
Pages: 304
Authors: Uma N. Dulhare
Categories: Technology & Engineering
Type: BOOK - Published: 2023-12-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to
Metaheuristics in Machine Learning: Theory and Applications
Language: en
Pages: 765
Authors: Diego Oliva
Categories: Computational intelligence
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolut
Machine Learning and Metaheuristics Algorithms, and Applications
Language: en
Pages: 256
Authors: Sabu M. Thampi
Categories: Computers
Type: BOOK - Published: 2021-02-05 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in
Informatics and Machine Learning
Language: en
Pages: 596
Authors: Stephen Winters-Hilt
Categories: Mathematics
Type: BOOK - Published: 2022-01-06 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Informatics and Machine Learning Discover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digit
Applications of Hybrid Metaheuristic Algorithms for Image Processing
Language: en
Pages: 488
Authors: Diego Oliva
Categories: Technology & Engineering
Type: BOOK - Published: 2020-03-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning a