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Browsing M.S. Theses by Subject "Machine learning."

Browsing M.S. Theses by Subject "Machine learning."

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  • A comparative evaluation of machine learning algorithms for statistical downscaling of monthly mean temperature data over European region 
    Eser, Günay. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Climate change is the most vital environmental change that has already started to affect many ecosystems. It is caused by greenhouse gas emissions which are increasing since the pre- industrial era, and populated areas ...
  • An evaluation of existing and new feature selection metrics in automatic text categorization 
    Taşcı, Şerafettin. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    In recent years, the amount of available documents in the electronic medium such as electronic books, digital libraries and email messages increased rapidly. Therefore, the task of organizing and manipulating these resources ...
  • 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 ...
  • Credit risk modeling using machine learning techniques 
    Kaya, Murat Emre. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In this thesis, credit scoring ability of several machine learning techniques were investigated such as multi-layer perceptron (MLP), radial basis function (RBF), knearest neighbor (k-NN) and support vector machines (SVM). ...
  • Detection of antibiotic resistance in bacteria via machine learning approaches 
    Erkut, Hamdi. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Tuberculosis, which is sometimes referred as white plague, is one of the most dangerous diseases caused by bacteria in our era. The species causing the sickness is in the family of Mycobacteriaceae and called mycobacterium ...
  • 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 ...
  • Efficient action and event recognition in videos using extreme learning machines 
    Varol, Gül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    A great deal of research in computer vision community has gone into action and event recognition studies. Automatic video understanding for actions are crucial for application areas such as video indexing, surveillance and ...
  • Environment aware location estimation in cellular networks 
    Türkyılmaz, Onur. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2007., 2007.)
    Location Based Services (LBS) enable personalized services to the mobile subscribers based on their current position and consequently it has received significant attention in both research and industry over the past few ...
  • Extracting protein-ligand interactions from the biomedical literature using deep learning approaches 
    Yüksel, Atakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Protein-ligand interactions play crucial roles in living organisms, thus they attract many researchers from various disciplines. There are protein-ligand interaction databases that provide information to researchers in a ...
  • Hit song prediction using feature-based machine learning 
    Çalışkol, Anıl Orhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Music industry is making big investments every year to produce hit songs. The increasing number of songs available through digital platforms can enable the development of learning models for predicting hit songs and ...
  • Identifying event nuggets in Turkish news texts using natural language processing and machine learning methods 
    Durna, Mehmet. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    An event nugget is the smallest textual instance that marks the existence of an event. Detecting event nuggets in a given text opens door to further research and many practical applications such as automatic classification ...
  • Incremental learning with ensemble based SVM classifiers for non-stationary environments 
    Yalçın, Aycan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In this thesis, we evaluate the performance of support vector machines (SVM) ensemble, which is constructed by using Learn++ algorithm, on changing environment and propose incorporating forgetting mechanism to adapt this ...
  • Intelligent arrhythmia classification based on support vector machines 
    Özkaya, Aslı Uyar. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    The main objective of this study is to provide automatic recognition of arrhythmiccardiac pathologies from the classification of ECG recordings. ECG is a graphical signalwhich is the result of electrical tension of heart ...
  • Machine learning methods in natural language processing 
    Güvenç, Betül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016., 2016.)
    There is a large number of algorithms for keyword extraction and text summarization in natural language processing, as we discuss some of these in this thesis. We started with a survey on automatic text summarization in ...
  • Model selection for multi-class support vector machines 
    Karaç, Evrim Itır. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2005., 2005.)
    Support Vector Machines (SVMs) are widely used, powerful learning algorithmsbased on statistical learning theory. In SVM learning, the data are mapped to a highdimensional space via a non-linear kernel function and a maximal ...
  • Morphologically motivated input variations in Turkish - English neural machine translation 
    Yirmibeşoğlu, Zeynep. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Success of neural networks in natural language processing has paved the way for neural machine translation (NMT), which rapidly became the mainstream approach in machine translation. Tremendous improvement in translation ...
  • 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 ...
  • Prediction of druggability properties of chemicals using machine learning techniques 
    Kahya, Gamze Ege. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Drug discovery is the process of designing and developing new medicine. The research and clinical experiments for new drug proposals are costly and take a long time. Although there has been proposed a lot of drug-like ...
  • Risk estimation for intrauterine growth restriction using ultrasound indices and classifiers in emergency cases 
    Zengin, Zeynep. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008., 2008.)
    The main objective of this study is to provide automatic recognition of IUGR in the early stages of pregnancy by using noninvasive method. The difficulty faced in interpretation of IUGR in the early stages forced researchers ...
  • Robot skill acquisition via representation sharing and reward conditioning 
    Akbulut, Mete Tuluhan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Skill acquisition is a character trait of intelligent behavior, which Robot Learning aims to give to robots. An effective approach is to teach an initial version of the skill by demonstrating as a form of Supervised Learning ...

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