Browsing by Author "Alpaydın, Ethem."

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  • An interactive web-based machine-learning suite 
    Yanardağ, Pınar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2010., 2010.)
    We propose a comprehensive and interactive web-based machine learning suite that will allow researchers and practitioners to use a wide collection of basic and experimental learning algorithms and sophisticated visualization ...
  • Discriminant ensembles and error analysis of classifier fusion rules 
    Semerci, Murat. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Each classification algorithm has its own underlying assumption and misclassifies different patterns and overall accuracy can be increased by a suitable fusion of multiple classifiers. The combination is performed over the ...
  • Earthquake prediction using neural networks 
    Dimililer, Nazife. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1995., 1995.)
    Earthquake Prediction is a mainly unsolved problem. A large number of different approaches have been tried and only a small number of attempts were fruitful. A few of these are explained briefly in this thesis. One of the ...
  • Incremental construction of cost-conscious ensembles using multiple learners and representations in machine learning 
    Ulaş, Mehmet Aydın. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    In this thesis, the main purpose is to combine multiple models to increase accuracy, while at the same time keeping a check on complexity. Towards this aim, we propose two methods, and these methods are tested by simulations ...
  • Incremental neural network construction algorithms for training multilayer perceptrons 
    Aran, Oya. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2002., 2002.)
    The problem of determining the architecture of a multilayer perceptron together with the disadvantages of the standard backpropagation algorithm, directed the research towards algorithms that determine not only the weights ...
  • Learning word representations with deep neural networks for Turkish 
    Dündar, Enes Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    In this study, we analyze the effect of different word embedding methods in representing Turkish texts, namely word2vec, fastText, and ELMo. Word embeddings are used for representing words in a high dimensional vector space ...
  • Market basket analysis for data mining 
    Ulaş, Mehmet Aydın. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2001., 2001.)
    Most of the established companies have accumulated masses of data from their customers for decades. With the e-commerce applications growing rapidly, the companies will have a significant amout of data in months not in ...
  • Multivariate decision trees for machine learning 
    Yıldız, Olcay Taner. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 2000., 2000.)
    In this thesis, we detail and compare univariate, linear decision tree methods using a set of simulations on twenty standard data sets. For univariate decision tree methods, we have used the ID3 algorithm and for multivariate ...
  • Nonlinear dimensionality reduction methods for pattern recognition 
    Turhan, Burak. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    The aim of dimensionality reduction is to find a lower dimensional, simpler representation while keeping the important information in the data. It is essential to employ dimensionality reduction for high dimensional data ...
  • Selecting from an ensemble of experts for machine learning 
    Kılıç, Esma. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Decision combination has recently become popular to improve over single learner systems. The fundamental idea behind an ensemble of classifiers is that the patterns which are misclassified by different classifiers are not ...
  • Spectral methods for outlier detection in machine learning 
    Erdoğan, Göker. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    Outliers are those instances in a sample that deviate signi cantly from the others. Their identi cation bears much importance since they carry valuable and actionable information in many real life scenarios. Spectral methods ...
  • Statistical comparison of classifiers using receiver operating characteristics information 
    Aslan, Özlem. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009., 2009.)
    Statistical tests in the literature mainly use error rate for comparison and assume equal loss for false positives and negatives. Receiver Operating Characteristics (ROC) curves and/or the Area Under the ROC Curve (AUC) ...
  • Training bidirectional generative adverarial networks with hints 
    Mutlu, Uras. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2019.)
    The generative adversarial network (GAN) is a deep learning architecture that learns a generative model by training a later discriminator to best differentiate “fake” examples generated by the generator from the “true” ...
  • Tuning model complexity using cross-validation for supervised learning 
    Yıldız, Olcay Taner. (Thesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    In this thesis, we review the use of cross-validation for model selection and propose the MultiTest method which solves the problem of choosing the best of multiple candidate supervised models. The MultiTest algorithm ...
  • Unsupervised learning of high-level invariant visual representations through temporal coherence 
    Orhan, Ahmed Emin. (Thesis (M.A.)-Bogazici University. Institute for Graduate Studies in the Social Sciences, 2008., 2008.)
    Temporal coherence principle is the idea of neglecting rapidly changing compo- nents of a temporal signal while keeping to the slowly varying ones, in order to extract useful invariances from the signal. We note that most ...

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