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Introduction To Pattern Recognition And Machine Learning - Research Book

Introduction To Pattern Recognition And Machine Learning - Research Book

Interesting Research Book in Introduction To Pattern Recognition And Machine Learning

Author(s) Name:  M Narasimha Murty , V Susheela Devi

About the Book:

   This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides a systematic account of its major topics such as pattern representation and nearest neighbour based classifiers, current topics — neural networks, support vector machines and decision trees — attributed to the recent vast progress in this field are also dealt with.
   Introduction to Pattern Recognition and Machine Learning will equip readers, especially senior computer science undergraduates, with a deeper understanding of the subject matter.

Table of Contents

  • Chapter 1: Introduction
  •  Chapter 2: Types of Data
  •   Chapter 3: Feature Extraction and Feature Selection
  •   Chapter 4: Bayesian Learning
  •   Chapter 5: Classification
  •   Chapter 6: Classification using Soft Computing Techniques
  •   Chapter 7: Data Clustering
  •   Chapter 8: Soft Clustering
  •   Chapter 9: Application — Social and Information Networks
  • ISBN:  978-981-4335-46-1

    Publisher:  World Scientific Publishing

    Year of Publication:  2015

    Book Link:  Home Page Url