CSC 653 Neural Networks and Machine Learning Applications

Introduction to inductive learning and decision trees, Neural Networks, Backpropagation  algorithm, Deep Neural Networks (Recurrent Networks and Deep Belief Networks), Self-Organizing Maps, Rule Induction, Bayesian Learning, Instance Based Learning, Ensembles of classifiers (Bagging Bossting, Stacking), Clustering, Association Rules, Regression.

ملحقات المادة الدراسية

Using differential evolution for improving distance measures of nominal values

Enhancing distance measures is the key to improve the performance of instance-based learning (IBL) and many machine learning (ML) algorithms. The value difference metrics (VDM) and inverted specific-class distance measure (ISCDM) are among the top performing distance measures that address nominal attribute. They use conditional probability terms to estimate the distance between nominal values; therefore, their accuracy mainly depends on the accurate estimation of these terms. An accurate estimation of conditional probability terms can be difficult if the training data is scarce.

الصفحات

اشترك ب KSU Faculty آر.إس.إس