A Dynamic Representation Solution for Machine Learning-Aided Performance Technology

Machine teaching: a machine learning approach to technology enhanced learning

Many applications of Technology Enhanced Learning are based on strong assumptions: Knowledge needs to be standardized, structured and most of all externalized into learning material that preferably is annotated with meta-data for efficient re-use. A vast body of valuable knowledge does not meet these assumptions, including informal knowledge such as experience and intuition that is key to many ...

A Novel High Performance Approach for Technology Computer Aided Design

A generic scientific simulation environment is presented which offers topological, dimensional, and functional independence. Therewith complete mathematical formulas and discretization schemes like finite volumes or finite elements can be expressed directly in C++. The new approach as well as the applicability and the performance related to well established simulators are highlighted.

Knowledge Representation Representation Formalisms in Machine Learning

We begin with what seems a paradox. The world of experience of any normal man is composed of a tremendous array of discriminably different objects, events, people, impressions...But were we to utilize fully our capacity for registering the differences in things and to respond to each event encountered as unique, we would soon be overwhelmed by the complexity of our environment... The resolution...

A Hybrid Machine Learning Method for Intrusion Detection

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

Knowledge Representation in Machine Learning