Amazing technological breakthrough possible @S-Logix pro@slogix.in

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • pro@slogix.in
  • +91- 81240 01111

Social List

Machine Learning Paradigms: Theory and Application - Research Book

Machine Learning Paradigms: Theory and Application - Research Book

Best Research Book in Machine Learning Paradigms: Theory and Application

Author(s) Name:  Aboul Ella Hassanien

About the Book:

   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.
   The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in todays 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.

Table of contents

  • Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient
  • Weighting Attributes and Decision Rules Through Rankings and Discretisation Parameters
  • Greedy Selection of Attributes to Be Discretised
  • Machine Learning for Enhancement Land Cover and Crop Types Classification
  • An Optimal Machine Learning Classification Model for Flash Memory Bit Error Prediction
  • Comparative Analysis of the Fault Diagnosis in CHMLI Using k-NN Classifier Based on Different Feature Extractions
  • Design and Development of an Intelligent Ontology-Based Solution for Energy Management in the Home
  • Towards a Personalized Learning Experience Using Reinforcement Learning
  • Towards Objective-Dependent Performance Analysis on Online Sentiment Review
  • Enhancing Performance of Hybrid Named Entity Recognition for Amazighe Language
  • Parameters Optimization of Support Vector Machine Based on the Optimal Foraging Theory
  • Solving Constrained Non-linear Integer and Mixed-Integer Global Optimization Problems Using Enhanced Directed Differential Evolution Algorithm

    • ISBN:  9783030023577

    Publisher:  Springer Publisher

    Year of Publication:  2018

    Book Link:  Home Page Url