Fundamentals of Machine Learning in Data Center Networks

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, we will briefly review the common learning paradigms of ML and some preliminary knowledge about data collection and processing. Furthermore, to better assess the strengths and weaknesses of the existing research work, we design a multi-dimensional and multi-perspective quality assessment criteria, called REBEL-3S.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages9-14
Number of pages6
DOIs
StatePublished - 2023

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

Fingerprint

Dive into the research topics of 'Fundamentals of Machine Learning in Data Center Networks'. Together they form a unique fingerprint.

Cite this