About: Another Adaptive Approach to Novelty Detection in Time Series     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • This paper introduces a novel approach to novelty detection of every individual sample of data in a time series. The novelty detection is based on the knowledge learned by neural networks and the consistency of data with contemporary governing law. In particular, the relationship of prediction error with the adaptive weight increments by gradient decent is shown, as the modification of the recently introduced adaptive approach of novelty detection. Static and dynamic neural network models are shown on theoretical data as well as on a real ECG signal.
  • This paper introduces a novel approach to novelty detection of every individual sample of data in a time series. The novelty detection is based on the knowledge learned by neural networks and the consistency of data with contemporary governing law. In particular, the relationship of prediction error with the adaptive weight increments by gradient decent is shown, as the modification of the recently introduced adaptive approach of novelty detection. Static and dynamic neural network models are shown on theoretical data as well as on a real ECG signal. (en)
Title
  • Another Adaptive Approach to Novelty Detection in Time Series
  • Another Adaptive Approach to Novelty Detection in Time Series (en)
skos:prefLabel
  • Another Adaptive Approach to Novelty Detection in Time Series
  • Another Adaptive Approach to Novelty Detection in Time Series (en)
skos:notation
  • RIV/68407700:21220/14:00212030!RIV15-MSM-21220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 3345
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21220/14:00212030
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Novelty Detection; Time Series; Gradient Descent; Neural Networks; ECG (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [D2DBD2091820]
http://linked.open...v/mistoKonaniAkce
  • Sydney
http://linked.open...i/riv/mistoVydani
  • Chennai, Tamil Nadu
http://linked.open...i/riv/nazevZdroje
  • Computer Science & Information Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bukovský, Ivo
  • Beneš, Peter Mark
  • Cejnek, Matouš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 2231-5403
number of pages
http://bibframe.org/vocab/doi
  • 10.5121/csit.2014.4229
http://purl.org/ne...btex#hasPublisher
  • AIRCC Publishing Corporation
http://localhost/t...ganizacniJednotka
  • 21220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 107 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software