Representation in Machine Learning

This book provides a concise but comprehensive guide to representation, which forms the core of Machine Learning (ML). State-of-the-art practical applications involve a number of challenges for the analysis of high-dimensional data. Unfortunately, many popular ML algorithms fail to perform, in both...

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Bibliographic Details
Main Authors: Murty, M. N., Avinash, M. (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2023, 2023
Edition:1st ed. 2023
Series:SpringerBriefs in Computer Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. Introduction
  • 2. Representation
  • 3. Nearest Neighbor Algorithms
  • 4. Representation Using Linear Combinations
  • 5. Non-Linear Schemes for Representation
  • 6. Conclusions