With increasing Internet connectivity and traffic volume, recent intrusion incidents have reemphasized the importance of network intrusion detection systems for combating increasingly sophisticated network attacks. Techniques such as pattern recognition and the data mining of network events are often used by intrusion detection systems to classify…

Ensemble approaches have been shown to enhance classification by combining the outputs from a set of voting classifiers. Diversity in error patterns among base classifiers promotes ensemble performance. Multi-task learning is an important characteristic for Neural Network classifiers. Introducing a secondary output unit that receives different…

Individuals with acquired phonological dyslexia experience difficulty associating written letters with their corresponding sounds, especially in pseudowords. Several studies have attempted to improve reading in this population by training letter-to-sound correspondence, general phonological skills, or a combination of these approaches; however,…