Now showing items 1-13 of 13

    • Çağrı merkezi metin madenciliği yaklaşımı 

      Yiğit, İ. O.; Ateş, A. F.; Güvercin, Mehmet; Ferhatosmanoğlu, Hakan; Gedik, Buğra (IEEE, 2017-05)
      Günümüzde çağrı merkezlerindeki görüşme kayıtlarının sesten metne dönüştürülebilmesi görüşme kaydı metinleri üzerinde metin madenciliği yöntemlerinin uygulanmasını mümkün kılmaktadır. Bu çalışma kapsamında görüşme ...
    • 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 ...
    • Efficient online learning algorithms based on LSTM neural networks 

      Ergen, T.; Kozat, S. S. (Institute of Electrical and Electronics Engineers, 2018)
      We investigate online nonlinear regression and introduce novel regression structures based on the long short term memory (LSTM) networks. For the introduced structures, we also provide highly efficient and effective online ...
    • Instance-based regression by partitioning feature projections 

      Uysal, İ.; Güvenir, H. A. (Springer, 2004)
      A new instance-based learning method is presented for regression problems with high-dimensional data. As an instance-based approach, the conventional method, KNN, is very popular for classification. Although KNN performs ...
    • Low complexity efficient online learning algorithms using LSTM networks 

      Mirza, Ali Hassan (Bilkent University, 2018-12)
      In this thesis, we implement efficient online learning algorithms using the Long Short Term Memory (LSTM) networks with low time and computational complexity. In Chapter 2, we investigate efficient covariance information-based ...
    • Modelling the relationship between productivity, employment and wages in Turkish small and medium sized enterprises,1981-1998 

      Demirel, Görkemli (Bilkent University, 2001)
      This thesis analyzes the empirical relationship between wages and productivity as well as the relationship between wages and employment in Turkish manufacturing industry. Unlike the previous studies done for manufacturing ...
    • Nonuniformly sampled data processing using LSTM networks 

      Sahin, S. O.; Kozat, S. S. (Institute of Electrical and Electronics Engineers, 2018)
      We investigate classification and regression for nonuniformly sampled variable length sequential data and introduce a novel long short-term memory (LSTM) architecture. In particular, we extend the classical LSTM network ...
    • Online boosting algorithm for regression with additive and multiplicative updates 

      Mirza, Ali H. (IEEE, 2018-05)
      In this paper, we propose a boosted regression algorithm in an online framework. We have a linear combination of the estimated output for each weak learner and weigh each of the estimated output differently by introducing ...
    • Online learning under adverse settings 

      Özkan, Hüseyin (Bilkent University, 2015-05)
      We present novel solutions for contemporary real life applications that generate data at unforeseen rates in unpredictable forms including non-stationarity, corruptions, missing/mixed attributes and high dimensionality. ...
    • Online text classification for real life tweet analysis 

      Yar, Ersin; Delibalta, İ.; Baruh, L.; Kozat, Süleyman Serdar (IEEE, 2016)
      In this paper, we study multi-class classification of tweets, where we introduce highly efficient dimensionality reduction techniques suitable for online processing of high dimensional feature vectors generated from ...
    • Regression by selecting best feature(s) 

      Aydın, Tolga (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 ...
    • A time series analysis of the Japanese yen with monthly data 

      Eltaş, Metin (Bilkent University, 1996)
      The purpose of this thesis is to obtain a function which will help in using the exchange rate between the Japanese Yen (Yen) and the United States Dollar (Dollar) as an investment alternative. A three-step method is ...
    • Twice-universal piecewise linear regression via infinite depth context trees 

      Vanlı, Nuri Denizcan; Sayın, Muhammed O.; Göze, T.; Kozat, Süleyman Selim (IEEE, 2015)
      We investigate the problem of sequential piecewise linear regression from a competitive framework. For an arbitrary and unknown data length n, we first introduce a method to partition the regressor space. Particularly, we ...