This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Providing a student with feedback that is timely, most suitable and useful for her personality and the performed task is a challenging problem of online assessment within Web-based...
Ekaterina Vasilyeva, Paul De Bra, Mykola Pechenizk...
The least-absolute shrinkage and selection operator (Lasso) is a popular tool for joint estimation and continuous variable selection, especially well-suited for the under-determin...
Scaffolding techniques allow human instructors to support novice learners in critical early stages, and to remove that support as expertise grows. This paper describes nAble, an a...
Joseph MacInnes, Stephanie Santosa, Nathan Kronenf...
This paper analyzes voice transmission capacity on IEEE 802.11 ad hoc networks by performing simulations related to delay, jitter, loss rate, and consecutive losses. We evaluate th...
Pedro B. Velloso, Marcelo G. Rubinstein, Otto Carl...