Now showing items 21-26 of 26

    • Problem representation for refinement 

      Guvenir, H. A.; Akman, V. (Springer Netherlands, 1992)
      In this paper we attempt to develop a problem representation technique which enables the decomposition of a problem into subproblems such that their solution in sequence constitutes a strategy for solving the problem. An ...
    • Ranking instances by maximizing the area under ROC curve 

      Guvenir, H. A.; Kurtcephe, M. (Institute of Electrical and Electronics Engineers, 2013)
      In recent years, the problem of learning a real-valued function that induces a ranking over an instance space has gained importance in machine learning literature. Here, we propose a supervised algorithm that learns a ...
    • Scalable image quality assessment with 2D mel-cepstrum and machine learning approach 

      Narwaria, M.; Lin, W.; Cetin, A. E. (Elsevier, 2011-07-19)
      Measurement of image quality is of fundamental importance to numerous image and video processing applications. Objective image quality assessment (IQA) is a two-stage process comprising of the following: (a) extraction of ...
    • Statistical analysis methods for the fMRI data 

      Behroozi, M.; Daliri, M.R.; Boyaci H. (2011)
      Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical ...
    • Two learning approaches for protein name extraction 

      Tatar, S.; Cicekli, I. (Academic Press, 2009)
      Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...
    • Using lexical chains for keyword extraction 

      Ercan, G.; Cicekli, I. (Elsevier Ltd, 2007-11)
      Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A ...