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Identification of relevant signal features

  • Wojciech Cholewa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The paper deals with design of diagnostic classifiers. The main goal is to illustrate an original way of identification of useful signal features on the basis of learning data prepared as a set of examples. One indicated some possibilities of application of a criterion based on the expectation that results of unsupervised clustering in a new limited space should be compatible with results of classification of learning data.

Original languageEnglish
Title of host publication10th IMEKO TC10 International Conference on Technical Diagnostics
PublisherHungarian Academy of Sciences
ISBN (Print)9789638658647
Publication statusPublished - 2005
Event10th IMEKO TC10 International Conference on Technical Diagnostics - Budapest, Hungary
Duration: 9 Jun 2005 → 10 Jun 2005

Publication series

Name10th IMEKO TC10 International Conference on Technical Diagnostics

Conference

Conference10th IMEKO TC10 International Conference on Technical Diagnostics
Country/TerritoryHungary
CityBudapest
Period9/06/05 → 10/06/05

Keywords

  • Diagnostic classifier
  • Feature selection

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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