Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
We investigate decidability, complexity and expressive power issues for (first-order) separation logic with one record field (herein called SL) and its fragments. SL can specify pr...
Precise zero knowledge introduced by Micali and Pass (STOC'06) guarantees that the view of any verifier V can be simulated in time closely related to the actual (as opposed t...
Omkant Pandey, Rafael Pass, Amit Sahai, Wei-Lung D...
This research explored the transition of romantic relationships from meeting online to the first face-to-face date. It is inevitable that impressions of a partner will change to s...
Lindsay Shaw Taylor, Andrew T. Fiore, G. A. Mendel...
Idioms and other figuratively used expressions pose considerable problems to natural language processing applications because they are very frequent and often behave idiosyncratic...
Caroline Sporleder, Linlin Li, Philip Gorinski, Xa...