• About
  • Policies
  • What is openaccess
  • Library
  • Contact
Advanced search
      View Item 
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      •   BUIR Home
      • Scholarly Publications
      • Faculty of Engineering
      • Department of Computer Engineering
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Induction of logical relations based on specific generalization of strings

      Thumbnail
      View/Open
      Full printable version (121.3Kb)
      Author
      Uzun, Y.
      Cicekli I.
      Date
      2007
      Journal Title
      22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedings
      Pages
      163 - 168
      Language
      English
      Type
      Conference Paper
      Metadata
      Show full item record
      Please cite this item using this persistent URL
      http://hdl.handle.net/11693/26950
      Abstract
      Learning logical relations from examples expressed as first order facts has been studied extensively by the Inductive Logic Programming research. Learning with positive-only data may cause over generalization of examples leading to inconsistent resulting hypotheses. A learning heuristic inferring specific generalization of strings based on unique match sequences is shown to be capable of learning predicates with string arguments. This paper describes an inductive learner based on the idea of specific generalization of strings, and the given clauses are generalized by considering the background knowledge. ©2007 IEEE.
      Published as
      http://dx.doi.org/10.1109/ISCIS.2007.4456855
      Collections
      • Department of Computer Engineering 1107

      Browse

      All of BUIRCommunities & CollectionsTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartmentsThis CollectionTitlesAuthorsAdvisorsBy Issue DateKeywordsTypeDepartments

      My Account

      Login

      Statistics

      View Usage Statistics

      Bilkent University

      If you have trouble accessing this page and need to request an alternate format, contact the webmaster. Phone: (312) 290 1771
      Copyright © Bilkent University | Library IT

      Contact Us | Send Feedback | Off-Campus Access | Admin