Browsing by Subject "Expert Systems"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Item Open Access An eager regression method based on best feature projections(Springer, Berlin, Heidelberg, 2001) Aydın, Tolga; Güvenir, H. AltayThis 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 predictive power of each feature attribute by constructing simple linear regression lines, one per each continuous feature and number of categories per each categorical feature. Because, although the predictive power of a continuous feature is constant, it varies for each distinct value of categorical features. Then the simple linear regression lines are sorted according to their predictive power. In the querying phase of learning, the best linear regression line and thus the best feature projection are selected to make predictions. © Springer-Verlag Berlin Heidelberg 2001.Item Open Access Metadata-based modeling of information resources on the web(Wiley, 2004) Özel, S. A.; Altingövde, S.; Ulusoy, Özgür; Özsoyoǧlu G.; Özsoyoǧlu, Z. M.This paper deals with the problem of modeling Web information resources using expert knowledge and personalized user information for improved Web searching capabilities. We propose a "Web information space" model, which is composed of Web-based information resources (HTML/XML [Hypertext Markup Language/Extensible Markup Language] documents on the Web), expert advice repositories (domain-expert-specified meta-data for information resources), and personalized information about users (captured as user profiles that indicates users' preferences about experts as well as users' knowledge about topics). Expert advice, the heart of the Web information space model, is specified using topics and relationships among topics (called metalinks), along the lines of the recently proposed topic maps. Topics and metalinks constitute metadata that describe the contents of the underlying HTML/XML Web resources. The metadata specification process is semiautomated, and it exploits XML DTDs (Document Type Definition) to allow domain-expert guided mapping of DTD elements to topics and metalinks. The expert advice is stored in an object-relational database management systems (DBMS). To demonstrate the practicality and usability of the proposed Web information space model, we created a prototype expert advice repository of more than one million topics/metalinks for DBLP (Database and Logic Programming) Bibliography data set. We also present a query interface that provides sophisticated querying facilities for DBLP Bibliography resources using the expert advice repository.Item Open Access UVT: a unification based tool for knowledge based verification(IEEE, 1993) Polat, F.; Guvenir, H. A.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 not explicitly given in the rule base and considers their effect on the verification process. The method can determine conflicting, redundant, subsumed, circular, and dead-end rules, redundant if conditions in rules, and cycles and contradictions within rules. The method has been implemented in a computer program called UVT (for unification-based verification tool) and tested on sample knowledge bases.