Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
We present a method to evaluate path queries based on the novel concept of partial path instances. Our method (1) maximizes performance by means of sequential scans or asynchronou...
Designing cost-sensitive real-time control systems for safetycritical applications requires a careful analysis of the cost/coverage trade-offs of fault-tolerant solutions. This fu...
Claudio Pinello, Luca P. Carloni, Alberto L. Sangi...
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...