Browsing Ph.D. Theses by Author "Baydoğan, Mustafa Gökçe."

Now showing items 1-3 of 3

Distance-based learning approaches for multiple instance learning

Sivrikaya, Özgür Emre. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2022., 2022)

Multiple Instance Learning (MIL) is a weakly supervised approach that focuses on the labeling of a set of instances (i.e. bags) where the label information of in dividual instances is generally unknown. Many of the earlier ...
Mathematical programming and statistical learning approaches for multiple instance learning

Lök, Emel Şeyma. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)

Many real-world applications of classiﬁcation require ﬂexibility in representing complex objects to preserve the relevant information for class separation. Multiple instance learning (MIL) aims to solve classiﬁcation problem ...
Multi-objective approaches for multi-target learning

Adıyeke, Esra. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2020., 2020.)

Multi-target datasets (MTD) require simultaneous prediction of several variables hence they are considered to be more challenging in terms of predictive tasks compared to single-target datasets. Mining of MTD requires ...

Search Digital Archive