Abstract

This paper provides a brief survey of the basic concepts and algorithms used for Machine Learning and its applications. We begin with a broader definition of machine learning and then introduce various learning modalities including supervised and unsupervised methods and deep learning paradigms. In the rest of the paper, we discuss applications of machine learning algorithms in various fields including pattern recognition, sensor networks, anomaly detection, Internet of Things (IoT) and health monitoring. In the final sections, we present some of the software tools and an extensive bibliography.

Original languageEnglish (US)
Title of host publication2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
Volume2018-January
ISBN (Electronic)9781538637319
DOIs
StatePublished - Mar 14 2018
Event8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 - Larnaca, Cyprus
Duration: Aug 27 2017Aug 30 2017

Other

Other8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017
CountryCyprus
CityLarnaca
Period8/27/178/30/17

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Information Systems
  • Software
  • Safety, Risk, Reliability and Quality
  • Social Sciences (miscellaneous)

Cite this

Shanthamallu, U. S., Spanias, A., Tepedelenlioglu, C., & Stanley, M. (2018). A brief survey of machine learning methods and their sensor and IoT applications. In 2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017 (Vol. 2018-January, pp. 1-8). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IISA.2017.8316459