Lifelong machine learning: Outlook and direction

Xianbin Hong, Prudence Wong, Dawei Liu, Sheng Uei Guan, Ka Lok Man, Xin Huang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

22 Citations (Scopus)

Abstract

The Lifelong machine learning is an advanced machine learning paradigm and also is the key to the stronger AI. In this paper, we review the development history of the lifelong machine learning and evaluate the current stage. The aim, definition and main components of it is introduced. In addition, the bottleneck and possible solution also is discussed and the further development waypoint is proposed.

Original languageEnglish
Title of host publicationProceedings of 2018 the 2nd International Conference on Big Data Research, ICBDR 2018
PublisherAssociation for Computing Machinery
Pages76-79
Number of pages4
ISBN (Electronic)9781450364768
DOIs
Publication statusPublished - 27 Oct 2018
Event2nd International Conference on Big Data Research, ICBDR 2018 - Weihai, China
Duration: 27 Oct 201829 Oct 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Big Data Research, ICBDR 2018
Country/TerritoryChina
CityWeihai
Period27/10/1829/10/18

Keywords

  • Big Data
  • Classification
  • Lifelong Machine Learning
  • Natural Language Processing

Cite this