Class Experiments

Experiments in Guided Class Rebalance Based on Class Structure

Up-sampling and down-sampling are the two most used methods in balancing the data when dealing with two class imbalance problem. However, none of the existing approaches to class rebalance take into account class information (e.g. distribution, within and between class distances, imbalance factor). This study presents initial results of up-sampling methods based on various approaches to aggrega...

Virtual Internets for Lab and Class Experiments

ion allows applications to use the network in a “do what I mean” fashion. Current distributed applications often embed network awareness, e.g., neighbor discovery and organization into trees or rings. VIs allow this capability to be offloaded, much as VM offloads page management from programmers. In one recent example, this abstraction was used to support geographic network overlays in ways tha...

Road Detection by One-Class Color Classification: Dataset and Experiments

Detecting traversable road areas ahead a moving vehicle is a key process for modern autonomous driving systems. A common approach to road detection consists of exploiting color features to classify pixels as road or background. These algorithms reduce the effect of lighting variations and weather conditions by exploiting the discriminant/invariant properties of different color representations. ...

Field Experiments in Class Size from the Early Twentieth Century

In-Class vs. Online Experiments: Is There a Difference?

Classroom experiments in economics continue to increase in popularity. While early experiments were often hand-run in class, now computerized online experiments are also widely available. Using a quasiexperimental approach, the authors investigated whether any difference in student achievement (as measured by course scores and the Test of Understanding in College Economics (TUCE) (Saunders 1991...