Each year, thousands of pedestrians are injured or killed in traffic accidents. Identifying pedestrians' perceptual capabilities for street crossing decisions is an important...
A. Elizabeth Seward, Daniel H. Ashmead, Bobby Bode...
In an uncertain database, each data item is modeled as a range associated with a probability density function. Previous works for this kind of data have focussed on simple queries...
End-users of high-performance computing resources have come to expect that consistent levels of performance be delivered to their applications. The advancement of the Computationa...
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...