We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
In today's society, people have very little control over what kinds of personal data are collected and stored by various agencies in both the private and public sectors. We de...
The change of focus from code to models promoted by OMG's Model Driven Development raises the need for verification of nonfunctional characteristics of UML models, such as pe...
Abstract. The concept of unreliable failure detectors for reliable distributed systems was introduced by Chandra and Toueg as a fine-grained means to add weak forms of synchrony i...
The recent advances in the research of left-continuous t-norms is summarized in this talk. The main focus is on construction methods, geometric description, and structural charact...