Auflistung nach Schlagwort "Stream classification"

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  • Active feature acquisition for opinion stream classification under drift 
    Shivakumaraswamy, Ranjith; Beyer, Christian; Unnikrishnan, Vishnu; Ntoutsi, Eirini; Spiliopoulou, Myra (Aachen, Germany : RWTH Aachen, 2019)
    Active stream learning is frequently used to acquire labels for instances and less frequently to determine which features should be considered as the stream evolves. We introduce a framework for active feature selection, ...
  • FAC-fed: Federated adaptation for fairness and concept drift aware stream classification 
    Badar, Maryam; Nejdl, Wolfgang; Fisichella, Marco (Dordrecht [u.a.] : Springer Science + Business Media B.V, 2023)
    Federated learning is an emerging collaborative learning paradigm of Machine learning involving distributed and heterogeneous clients. Enormous collections of continuously arriving heterogeneous data residing on distributed ...
  • Resource management for model learning at entity level 
    Beyer, Christian; Unnikrishnan, Vishnu; Brüggemann, Robert; Toulouse, Vincent; Omar, Hafez Kader; Ntoutsi, Eirini; Spiliopoulou, Myra (Berlin : Springer, 2020)
    Many current and future applications plan to provide entity-specific predictions. These range from individualized healthcare applications to user-specific purchase recommendations. In our previous stream-based work on ...