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Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting 

Akbulut, Akhan (2019-01)
— Predicting the sales amount as close as to the actual sales amount can provide many benefits to companies. Since the fashion industry is not easily predictable, it is not straightforward to make an accurate prediction ...
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Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals 

Patlar Akbulut, Fatma; Perros, H.G; Shahzad, M. (2020-10)
Background and objective: Affect provides contextual information about the emotional state of a person as he/she communicates in both verbal and/or non-verbal forms. While human's are great at determining the emotional ...
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A tree learning approach to web document sectional hierarchy extraction 

Pembe, F.Canan; Göngör, Tunga (2010)
There is an increasing availability of documents in electronic form due to the widespread use of the Internet. Hypertext Markup Language (HTML) which is mostly concerned with the presentation of documents is still the most ...
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Performance tuning for machine learning-based software development effort prediction models 

Ertuğrul, Egemen; Baytar, Zakir; Çatal, Çağatay; Muratlı, Can (2019)
Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...
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Performance Evaluation Metrics for Software Fault Prediction Studies 

Çatal, Çağatay (Budapest Tech, Becsi Ut 96-B, Budapest, H-1034, Hungary, 2012)
Experimental studies confirmed that only a small portion of software modules cause faults in software systems. Therefore, the majority of software modules are represented with non-faulty labels and the rest are marked with ...
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Comparison of Face Recognition Algorithms 

Günay, Melike; Ensari, Tolga (IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
in this study, we analyze the algorithms that is used for face recognition and make performance comparison of two algorithms. The methods that is analyzed are k-nearest neighbors, Naive Bayes, eigenfaces, principle component ...

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AuthorÇatal, Çağatay (2)Akbulut, Akhan (1)Baytar, Zakir (1)Ensari, Tolga (1)Ertuğrul, Egemen (1)Göngör, Tunga (1)Günay, Melike (1)Muratlı, Can (1)Patlar Akbulut, Fatma (1)Pembe, F.Canan (1)... View MoreSubject
Machine Learning (6)
Makine Öğrenme (3)Affect Recognition (1)Artificial Neural Networks (1)Autoregressive Hidden Markov Models (1)Belge Yapısı (1)Biosignals (1)Document Structure (1)Dünya Çapında Ağ (1)Face Recognition (1)... View MoreDate Issued2019 (2)2010 (1)2012 (1)2017 (1)2020 (1)Has File(s)No (3)Yes (3)

İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS