Browsing SBM15: Sketch Based Interfaces and Modeling 2015 by Subject "I.5.0 [Pattern Recognition]"

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    • SVM-based Sketch Recognition: Which Hyperparameter Interval to Try? 

      Yesilbek, Kemal Tugrul; Sen, Cansu; Cakmak, Serike; Sezgin, T. Metin (The Eurographics Association, 2015)
      Hyperparameters are among the most crucial factors that affect the performance of machine learning algorithms. In general, there is no direct method for determining a set of satisfactory parameters, so hyperparameter search ...