Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
LightUp is a constructionist platform to teach novices about electronics, and also a low-cost rapid-prototyping platform for more advanced users. The LightUp kit contains many bas...
Zain Asgar, Joshua Chan, Chang Liu, Paulo Blikstei...
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
: Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level...
Yixin Diao, Frank Eskesen, Steve Froehlich, Joseph...