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

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Description
  • This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the observations may change over time. We present a system that monitors the evolution of the learning process. The system is able to self-diagnose degradations of this process, using change detection mechanisms, and self-repairs the decision models. The system uses meta-learning techniques that characterize the domain of applicability of previously learned models. The meta-learners can detect reccurrence of contexts using unlabeled examples, and take pro-active actions by activating previously learned models.
  • This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the observations may change over time. We present a system that monitors the evolution of the learning process. The system is able to self-diagnose degradations of this process, using change detection mechanisms, and self-repairs the decision models. The system uses meta-learning techniques that characterize the domain of applicability of previously learned models. The meta-learners can detect reccurrence of contexts using unlabeled examples, and take pro-active actions by activating previously learned models. (en)
Title
  • Learning about the Learning Process
  • Learning about the Learning Process (en)
skos:prefLabel
  • Learning about the Learning Process
  • Learning about the Learning Process (en)
skos:notation
  • RIV/00216224:14330/11:00053696!RIV12-MSM-14330___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LA09016), S
http://linked.open...iv/cisloPeriodika
  • October
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
  • 209122
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/11:00053696
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Data streams; concept drift; meta-learning; recurrent concepts (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [4D754FFAB311]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science, Advances in Intelligent Data Analysis X
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 7014
http://linked.open...iv/tvurceVysledku
  • Kosina, Petr
  • Gama, João
issn
  • 0302-9743
number of pages
http://localhost/t...ganizacniJednotka
  • 14330
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