Now showing items 1-8 of 8

    • Abstract metaprolog engine 

      Cicekli, I. (Elsevier, 1998)
      A compiler-based meta-level system for MetaProlog language is presented. Since MetaProlog is a meta-level extension of Prolog, the Warren Abstract Machine (WAM) is extended to get an efficient implementation of meta-level ...
    • Automated construction of fuzzy event sets and its application to active databases 

      Saygin, Y.; Ulusoy, Ö. (IEEE, 2001)
      Fuzzy sets and fuzzy logic research aims to bridge the gap between the crisp world of math and the real world. Fuzzy set theory was applied to many different areas, from control to databases. Sometimes the number of events ...
    • Exploiting interclass rules for focused crawling 

      Altingövde, I. S.; Ulusoy, Ö. (IEEE, 2004)
      A baseline crawler was developed at the Bilkent University based on a focused-crawling approach. The focused crawler is an agent that targets a particular topic and visits and gathers only a relevant, narrow Web segment ...
    • Learning translation templates for closely related languages 

      Altıntaş, Kemal; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2003)
      Many researchers have worked on example-based machine translation and different techniques have been investigated in the area. In literature, a method of using translation templates learned from bilingual example pairs was ...
    • 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 ...
    • Regression on feature projections 

      Guvenir, H. A.; Uysal, I. (Elsevier, 2000)
      This paper describes a machine learning method, called Regression on Feature Projections (RFP), for predicting a real-valued target feature, given the values of multiple predictive features. In RFP training is based on ...
    • A rule-based video database system architecture 

      Dönderler, M. E.; Ulusoy, Ö.; Güdükbay U. (Elsevier, 2002)
      We propose a novel architecture for a video database system incorporating both spatio-temporal and semantic (keyword, event/activity and category-based) query facilities. The originality of our approach stems from the fact ...
    • UVT: a unification based tool for knowledge based verification 

      Polat, F.; Guvenir, H. A. (IEEE, 1993)
      A method for verifying knowledge bases that is based on the unification of rules is discussed. One characteristic that distinguishes this approach from other verification tools is that it infers some of the rules that are ...