All Outputs (4)

Deep learning based approaches for imitation learning. (2018)
Thesis
HUSSEIN, A. 2018. Deep learning based approaches for imitation learning. Robert Gordon University, PhD thesis.

Imitation learning refers to an agent's ability to mimic a desired behaviour by learning from observations. The field is rapidly gaining attention due to recent advances in computational and communication capabilities as well as rising demand for int... Read More about Deep learning based approaches for imitation learning..

On pruning and feature engineering in Random Forests. (2016)
Thesis
FAWAGREH, K. 2016. On pruning and feature engineering in Random Forests. Robert Gordon University, PhD thesis.

Random Forest (RF) is an ensemble classification technique that was developed by Leo Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is stil... Read More about On pruning and feature engineering in Random Forests..

A data mining approach to ontology learning for automatic content-related question-answering in MOOCs. (2016)
Thesis
SHATNAWI, S.M.I. 2016. A data mining approach to ontology learning for automatic content-related question-answering in MOOCs. Robert Gordon University, PhD thesis.

The advent of Massive Open Online Courses (MOOCs) allows massive volume of registrants to enrol in these MOOCs. This research aims to offer MOOCs registrants with automatic content related feedback to fulfil their cognitive needs. A framework is prop... Read More about A data mining approach to ontology learning for automatic content-related question-answering in MOOCs..

An association rule dynamics and classification approach to event detection and tracking in Twitter. (2015)
Thesis
ADEDOYIN-OLOWE, M. 2015. An association rule dynamics and classification approach to event detection and tracking in Twitter. Robert Gordon University, PhD thesis.

Twitter is a microblogging application used for sending and retrieving instant on-line messages of not more than 140 characters. There has been a surge in Twitter activities since its launch in 2006 as well as steady increase in event detection resea... Read More about An association rule dynamics and classification approach to event detection and tracking in Twitter..