Beeld op de omslag

Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression. The...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Hoofdauteur: Braga-Neto, Ulisses (Auteur)
Coauteur: SpringerLink (Online service)
Formaat: Elektronisch E-boek
Taal:Engels
Gepubliceerd in: Cham : Springer International Publishing : Imprint: Springer, 2024.
Editie:2nd ed. 2024.
Onderwerpen:
Image processing > Digital techniques.
Computer vision.
Machine learning.
Pattern recognition systems.
Bioinformatics.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Machine Learning.
Automated Pattern Recognition.
Computer Vision.
Online toegang:https://doi.org/10.1007/978-3-031-60950-3
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
Inhoudsopgave:
  • Introduction
  • Optimal Classification
  • Sample-Based Classification
  • Parametric Classification
  • Nonparametric Classification
  • Function-Approximation Classification
  • Error Estimation for Classification
  • Model Selection for Classification
  • Dimensionality Reduction
  • Clustering
  • Regression
  • Bayesian Machine Learning
  • Scientific
  • Machine Learning
  • Appendices.

Gelijkaardige items