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Browsing Bilgisayar Mühendisliği by Subject "Machine learning."

Browsing Bilgisayar Mühendisliği by Subject "Machine learning."

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  • 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 ...
  • 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 ...
  • Softly semi-supervised learning for bioinformatics applications 
    Çetinkaya Demir, Melis Özgür. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Binary classi cation of biological data is an important research problem both in the Bioinformatics and Machine Learning elds. This problem is particularly challenging when the number of labeled instances is very few. ...
  • Software effort estimation using machine learning methods 
    Başkeleş, Bilge. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    In software engineering, the main aim is to develop projects that produce the desired results within limited schedule and budget. There are many factors that affect the budget of a project. The most important factor that ...
  • Text-based machine learning methodologies for modelling drug-target interactions 
    Öztürk, Hakime. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    The identi cation of novel interactions between proteins and drugs with computational methodologies constitutes a signi cant area of research. Most often, a drug can be re-purposed to target a novel protein which enables ...
  • Using machine learning to improve automated test generation 
    Köroğlu, Yavuz. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)
    Underestimating the value of software testing had catastrophic results in recent history. Automated Test Generation (ATG) is an approach that aims to minimize the manual effort required for testing. This thesis aims to ...
  • Using reviews on the web to predict box office success with machine learning methods 
    Sivrikaya, Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2019., 2019.)
    Movie production is a serious undertaking that requires a significant amount of investment. The success of a movie, i.e., positive return on investment, can only be realized with a good performance at the box-office well after ...
  • Workload orchestration for multi-tier multi-access edge computing systems 
    Sönmez, Çağatay. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)
    Edge computing is a broad concept covering a variety of computing technologies such as cloudlet-based computing, Fog Computing, Mobile Cloud Computing (MCC), and Multi-Access Edge Computing (MEC). All these computing ...

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