There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics ...

For the last decade, machine learning techniques have been applied to financial tasks such as portfolio management, risk assessment and stock market prediction. Among these techniques artificial neural network as a machine ...

In this thesis, we applied the Catmull-Rom splines and B-splines to the neural networks models, which are Multi Layer Perceptrons, Elman Networks, and Locally Recurrent Neural Networks, as adaptive activation functions. ...

One of the challenging problems in computer vision is face detection. The goal of face detection is to locate all regions that contain a face regardless of any three dimensional transformation and lighting condition. There ...

This thesis studies the cost sensitive learning algorithms that calculate the class learning algorithms errors and costs. Data mining is the automated extraction of hidden predictive information from databases that can be ...