Now showing items 1-2 of 2

    • An eager regression method based on best feature projections 

      Aydın, Tolga; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2001)
      This paper describes a machine learning method, called Regression by Selecting Best Feature Projections (RSBFP). In the training phase, RSBFP projects the training data on each feature dimension and aims to find the ...
    • Maximizing benefit of classifications using feature intervals 

      İkizler, Nazlı; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2003)
      There is a great need for classification methods that can properly handle asymmetric cost and benefit constraints of classifications. In this study, we aim to emphasize the importance of classification benefits by means ...