Now showing items 1-2 of 2

    • Exploiting relevance for online decision-making in high-dimensions 

      Turgay, Eralp; Bulucu, Cem; Tekin, Cem (IEEE, 2020)
      Many sequential decision-making tasks require choosing at each decision step the right action out of the vast set of possibilities by extracting actionable intelligence from high-dimensional data streams. Most of the times, ...
    • RELEAF: an algorithm for learning and exploiting relevance 

      Tekin, C.; Schaar, Mihaela van der (Cornell University, 2015-02)
      Recommender systems, medical diagnosis, network security, etc., require on-going learning and decision-making in real time. These -- and many others -- represent perfect examples of the opportunities and difficulties ...