Now showing items 1-6 of 6
Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting
— 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 ...
Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals
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 ...
A tree learning approach to web document sectional hierarchy extraction
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 ...
Performance tuning for machine learning-based software development effort prediction models
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, ...
Performance Evaluation Metrics for Software Fault Prediction Studies
(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 ...
Comparison of Face Recognition Algorithms
(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 ...