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Sampling Techniques for Supervised or Unsupervised Tasks

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Cover of 'Sampling Techniques for Supervised or Unsupervised Tasks'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Sampling Techniques
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    Chapter 2 Core-Sets: Updated Survey
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    Chapter 3 A Family of Unsupervised Sampling Algorithms
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    Chapter 4 From Supervised Instance and Feature Selection Algorithms to Dual Selection: A Review
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    Chapter 5 Approximating Spectral Clustering via Sampling: A Review
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    Chapter 6 Sampling Technique for Complex Data
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    Chapter 7 Boosting the Exploration of Huge Dynamic Graphs
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Title
Sampling Techniques for Supervised or Unsupervised Tasks
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-29349-9
ISBNs
978-3-03-029348-2, 978-3-03-029349-9
Editors

Ros, Frédéric, Guillaume, Serge

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