Advisors
Now showing items 1-12 of 12
-
Application of K-NN and FPTC based text categorization algorithms to Turkish news reports
(Bilkent University, 2001)New technological developments, such as easy access to Internet, optical character readers, high-speed networks and inexpensive massive storage facilities, have resulted in a dramatic increase in the availability of ... -
Batch learning of disjoint feature intervals
(Bilkent University, 1996)This thesis presents several learning algorithms for multi-concept descriptions in the form of disjoint feature intervals, called Feature Interval Learning algorithms (FIL). These algorithms are batch supervised inductive ... -
Design and implementation of an object-oriented expert system shell
(Bilkent University, 1989)Expert systems represent a new opportunity in computing. An expert system is a computing system capable of representing and reasoning about some knowledge-rich domain with a view to solving problems and giving advice. Expert ... -
Knowledge base verification in an expert system shell
(Bilkent University, 1989)An important part of an expert system is its knowledge base which contains domain dei^endent knowledge. Knowledge base verification is one of the important ¡problems of knowledge acquisition. It is the process of ... -
Learning with feature partitions
(Bilkent University, 1993)This thesis presents a new methodology of learning from examples, based on feature partitioning. Classification by Feature Partitioning (CFP) is a particular implementation of this technique, which is an inductive, ... -
Mining user access patterns and identity information from web logs for effective personalization
(Bilkent University, 2001) -
Modeling interestingness of streaming association rules as a benefit maximizing classification problem
(Bilkent University, 2009)In a typical application of association rule learning from market basket data, a set of transactions for a fixed period of time is used as input to rule learning algorithms. For example, the well-known Apriori algorithm ... -
Predicting next page access by time length reference in the scope of effective use of resources
(Bilkent University, 2002)Access log file is like a box of treasure waiting to be exploited containing valuable information for the web usage mining system. We can convert this information hidden in the access log files into knowledge by analyzing ... -
Predicting risk of mortality in patients undergoing cardiovascular surgery
(Bilkent University, 2008)It is very important to inform the patients and their relatives about the risk of mortality before a cardiovascular operation. For this respect, a model called EuroSCORE (The European System for Cardiac Operative Risk ... -
A privacy-preserving solution for the bipartite ranking problem on spark framework
(Bilkent University, 2017-07)The bipartite ranking problem is defined as finding a function that ranks positive instances in a dataset higher than the negative ones. Financial and medical domains are some of the common application areas of the ranking ... -
Regression by selecting best feature(s)
(Bilkent University, 2000)Two new machine learning methods, Regression by Selecting Best Feature Projections (RSBFP) and Regression by Selecting Best Features (RSBF), are presented for regression problems. These methods heavily make use of least ... -
Software design, implementation, application, and refinement of a Bayesian approach for the assessment of content and user qualities
(Bilkent University, 2011)The internet provides unlimited access to vast amounts of information. Technical innovations and internet coverage allow more and more people to supply contents for the web. As a result, there is a great deal of material ...
