Now showing items 1-9 of 9

    • Classification by feature partitioning 

      Guvenir, H. A.; Şirin, İ. (Springer/Kluwer Academic Publishers-Plenum Publishers, 1996)
      This paper presents a new form of exemplar-based learning, based on a representation scheme called jfaliirf parluinning, and a panitular implementation of this technique called CFF (for Classification by feature Partioning). ...
    • Contexts and situations 

      Surav, Mehmet (Bilkent University, 1994)
      The issue of context arises in assorted areas of Artificial Intelligence, Mathematical Logic, and Natural Language Semantics. Although its importance is realized by various researchers, there is not much work towards a ...
    • Maximizing benefit of classifications using feature intervals 

      İkizler, N.; Güvenir, H. A. (Springer, 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 ...
    • Nonstandard set theories and information management 

      Akman, V.; Pakkan, M. (Springer/Kluwer Academic Publishers, 1996)
      The merits of set theory as a foundational tool in mathematics stimulate its use in various areas of artificial intelligence, in particular intelligent information systems. In this paper, a study of various nonstandard ...
    • Representing the Zoo World and the Traffic World in the language of the Causal Calculator 

      Akman, V.; Erdoğan, S. T.; Lee, J.; Lifschitz, V.; Turner, H. (Elsevier, 2004-03)
      The work described in this report is motivated by the desire to test the expressive possibilities of action language C+. The Causal Calculator (CCALC) is a system that answers queries about action domains described in a ...
    • 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 ...
    • Situated modeling of epistemic puzzles 

      Ersan, Murat (Bilkent University, 1994)
      Situation theory is a mathematical theory of meaning introduced by Jon Barwise and John Perry. It has evoked great theoretical and practical interest and motivated the framework of a few ‘computational’ systems. PROSIT ...
    • Towards situation-oriented programming languages 

      Tin, E.; Akman, V.; Ersan, M. (ACM, 1995)
      Recently, there have been some attempts towards developing programming languages based on situation theory. These languages employ situation-theoretic constructs with varying degrees of divergence from the ontology of the ...
    • The use of situation theory in context modeling 

      Akman, V.; Surav, M. (Wiley-Blackwell Publishing, Inc., 1997)
      At the heart of natural language processing is the understanding of context dependent meanings This paper presents a preliminary model of formal contexts based on situation theory. It also gives a worked-out example to ...