Machine Learning Paradigms: Theory and Application

£139.50

Machine Learning Paradigms: Theory and Application

Artificial intelligence Pattern recognition

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Collection: Studies in Computational Intelligence

Language: English

Published by: Springer

Published on: 8th December 2018

Format: LCP-protected ePub

Size: 81 Mb

ISBN: 9783030023577


Overview

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms.

Introduction

The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

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