Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the ...
In this paper, we suggest that all pairings be in a group from an abstract angle. According to our results, we can define some new pairings with short Miller loops and hence speed ...
— We propose a simple queueing model for TCP transfers sharing a bottleneck link and examine its behavior when the buffer at the bottleneck is large compared to the bandwidth-del...
We study one of the many aspects of privacy, which is referred to as data anonymity, in a formal context. Data anonymity expresses whether some piece of observed data, such as a v...