The social marketplace for new and used books.

Get started

Learn to sell
Learn to buy
Buy textbooks
Sign up
Buy a giftcard
For the authors

Support

Help
Track a shipment
Terms of use
Privacy policy
Cookies policy

Company

About us
Work with us
Give feedback
Categories

Contact us

Fast delivery with

Safe payments by

Visa
Mastercard
Vipps
Klarna

© 2026 Bookis AS

English

Norway

Region is based on IP address

  1. Home
  5. Interdisciplinary studies
  1. Home
  3. Genres
  7. Interdisciplinary studies
Machine Learning in Complex Networks

Paperback • 2018 • 1. edition

Machine Learning in Complex Networks

By Thiago Christiano Silva, Liang Zhao

0 Ratings • 0.0 of 5

‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌

About the book

This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a stochastic particle competition technique for both non-supervised and semi-superv...Show more

Interdisciplinary studies

Book details

ISBN

9783319792347

Publisher

Springer International Publishing AG

Published year

2018

Language

Edition

1

Original title

Machine Learning in Complex Networks

Format

Paperback

Shippping and returns

Shipping

Used books are shipped by the seller. Expected delivery after package is sent is 2-4 days.

Returns

Contact the seller after delivery.

Reviews · 0

0 Ratings • 0.0 of 5

You might also like

A Hands-On Introduction to Machine Learning

A Hands-On Introduction to Machine Learning

Chirag Shah

The StatQuest Illustrated Guide to Machine Learning!!!

The StatQuest Illustrated Guide to Machine Learning!!!

Josh Starmer

An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

Gareth James

Machine Learning For Dummies

Machine Learning For Dummies

John Paul Mueller

Introduction to machine learning

Introduction to machine learning

Ethem Alpaydin

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurelien Geron

Python Machine Learning Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2, 3rd Edition

Python Machine Learning Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow 2, 3rd Edition

Sebastian Raschka

Artificial Intelligence A Comprehensive Guide to AI, Machine Learning, Internet of Things, Robotics, Deep Learning, Predictive Analytics, Neural Networks, Reinforcement Learning, and Our Future

Artificial Intelligence A Comprehensive Guide to AI, Machine Learning, Internet of Things, Robotics, Deep Learning, Predictive Analytics, Neural Networks, Reinforcement Learning, and Our Future

Neil Wilkins

Natural Language Processing in Action

Natural Language Processing in Action

Lane Hobson

Dynamical Systems with Applications using Python

Dynamical Systems with Applications using Python

Stephen Lynch

Complex Network Analysis in Python

Complex Network Analysis in Python

Dmitry Zinoviev

Networks

Networks

USA) Newman Mark (Anatol Rapoport Distinguished University Professor of Physics University of Michigan

The Master Algorithm How the Quest for the Ultimate Learning machine will remake our world

The Master Algorithm How the Quest for the Ultimate Learning machine will remake our world

Pedro Domingos

Practical Machine Learning with Python

Practical Machine Learning with Python

Dipanjan Sarkar

Deep Learning

Deep Learning

Josh Patterson

Artificial Intelligence

Artificial Intelligence

Vancouver) Poole David L. (University of British Columbia

Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Geron

The Master Algorithm

The Master Algorithm

Pedro Domingos

Machine Learning for Absolute Beginners A Plain English Introduction

Machine Learning for Absolute Beginners A Plain English Introduction

Oliver Theobald

Introduction to Machine Learning with Python: A Guide for Data Scientists

Introduction to Machine Learning with Python: A Guide for Data Scientists

Andreas C. Meuller

Text Data Management and Analysis

Text Data Management and Analysis

ChengXiang Zhai

Machine Learning With R

Machine Learning With R

Brett Lantz

Data Science and Big Data Analytics

Data Science and Big Data Analytics

Intelligence Emerging

Intelligence Emerging

Keith L. Downing

Machine Learning

Machine Learning

Stephen Marsland

Linked

Linked

Albert-Laszlo Barabasi

Mining of Massive Datasets

Mining of Massive Datasets

Jeffrey David Ullman

Analyzing Social Networks

Analyzing Social Networks

Stephen P Borgatti

Understanding Social Networks

Understanding Social Networks

Charles Kadushin

Bayesian reasoning and machine learning

Bayesian reasoning and machine learning

David Barber

Artificial Intelligence A Guide to Intelligent Systems

Artificial Intelligence A Guide to Intelligent Systems

Michael Negnevitsky

The Elements of Statistical Learning

The Elements of Statistical Learning

Trevor Hastie

Complexity, Science and Society

Complexity, Science and Society

Jan Bogg

Computer Networks

Computer Networks

Andrew S. Tanenbaum

LINKED: The New Science of Networks

LINKED: The New Science of Networks

Albert-Laszlo Barabasi

Principles of Data Mining

Principles of Data Mining

David J. Hand

An introduction to neural networks

An introduction to neural networks

Gurney, Kevin

Applying Neural Networks A Practical Guide

Applying Neural Networks A Practical Guide

Kevin Swingler