In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
This paper presents a methodology for the statistical analysis of clock tree structures. It allows to accurately predict and analyze the impact of process variation on clock skew....
Enrico Malavasi, Stefano Zanella, Min Cao, Julian ...
Network designers perform challenging tasks with so many configuration options that it is often hard or even impossible for a human to predict all potentially dangerous situation...
—In network-on-chip, computing worst-case delay bound for packet delivery is crucial for designing predictable systems but yet an intractable problem due to complicated resource ...
Background: We describe Distill, a suite of servers for the prediction of protein structural features: secondary structure; relative solvent accessibility; contact density; backbo...