Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Abstract Advances in wireless sensor networks and positioning technologies enable new applications monitoring moving objects. Some of these applications, such as traffic managemen...
There is a recognized need for a meta-classification that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins...
The objective of this paper is to illustrate the application of genetic programming to evolve classifiers for multi-channel time series data. The paper shows how high performance d...
Existing tools require end-user programmers (EUPs) to write regular expressions ("regexps") or even scripts to validate textual inputs, which is slow and error-prone. We...