Browsing by Author "Güvenir, H. Altay"
Now showing items 1-11 of 11
-
An application of genetic programming to the 4-Op problem using map-trees
Aytekin, Tevfik; Korkmaz, E. Erkan; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 1995)In Genetic programming (GP) applications the programs are expressed as parse trees. A node of a parse tree is an element either from the function-set or terminal-set, and an element of a terminal set can be used in a parse ... -
ARG: A tool for automatic report generation
Karakaya, K. Murat; Güvenir, H. Altay (Aves Yayıncılık, 2004)The expansion of on-line text with the rapid growth of the Internet imposes utilizing Data Mining techniques to reveal the information embedded in these documents. Therefore text classification and text summarization are ... -
Classification by voting feature intervals
Demiröz, Gülşen; Güvenir, H. Altay (Springer, 1997-04)A new classification algorithm called VFI (for Voting Feature Intervals) is proposed. A concept is represented by a set of feature intervals on each feature dimension separately. Each feature participates in the classification ... -
A classification learning algorithm robust to irrelevant features
Güvenir, H. Altay (Springer, 1998-09)Presence of irrelevant features is a fact of life in many realworld applications of classification learning. Although nearest-neighbor classification algorithms have emerged as a promising approach to machine learning tasks ... -
Distributed artificial intelligence in engineering design
Polat, Faruk; Güvenir, H. Altay (ASME, 1992)Distributed Artificial Intelligence (DAI) research is concerned with solving problems using both AI techniques and distributed processing. DAI techniques can be used to solve many complex problems such as engineering design ... -
An eager regression method based on best feature projections
Aydın, Tolga; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2001)This 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 ... -
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 ... -
Preface
Roth-Berghofer, T. R.; Göker, M. H.; Güvenir, H. Altay (Springer, Berlin, Heidelberg, 2006) -
A privacy-preserving solution for the bipartite ranking problem
Faramarzi, Noushin Salek; Ayday, Erman; Güvenir, H. Altay (IEEE, 2016-12)In this paper, we propose an efficient solution for the privacy-preserving of a bipartite ranking algorithm. The bipartite ranking problem can be considered as finding a function that ranks positive instances (in a dataset) ... -
Supervised machine learning algorithm for arrhythmia analysis
Güvenir, H. Altay; Acar, Burak; Demiröz, Gülşen; Çekin, A. (IEEE, 1997)A new machine learning algorithm for the diagnosis of cardiac arrhythmia from standard 12 lead ECG recordings is presented. The algorithm is called VFI5 for Voting Feature Intervals. VFI5 is a supervised and inductive ...