Now showing items 1-3 of 3

    • Actionable intelligence and online learning for semantic computing 

      Tekin, Cem; van der Schaar, M. (World Scientific Publishing Company, 2017)
      As the world becomes more connected and instrumented, high dimensional, heterogeneous and time-varying data streams are collected and need to be analyzed on the fly to extract the actionable intelligence from the data ...
    • Adaptive ensemble learning with confidence bounds 

      Tekin, C.; Yoon, J.; Schaar, M. V. D. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Extracting actionable intelligence from distributed, heterogeneous, correlated, and high-dimensional data sources requires run-time processing and learning both locally and globally. In the last decade, a large number of ...
    • Contextual online learning for multimedia content aggregation 

      Tekin, C.; Schaar, Mihaela van der (Institute of Electrical and Electronics Engineers, 2015-04)
      The last decade has witnessed a tremendous growth in the volume as well as the diversity of multimedia content generated by a multitude of sources (news agencies, social media, etc.). Faced with a variety of content ...