This paper argues that the network latency due to synchronous replication is no longer tolerable in scenarios where businesses are required by regulation to separate their seconda...
Xiaotao Liu, Gal Niv, Prashant J. Shenoy, K. K. Ra...
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
We study the average number of well-chosen labeled examples that are required for a helpful teacher to uniquely specify a target function within a concept class. This "average...
We argue that a comprehensive model of graph comprehension must include spatial cognition. We propose that current models of graph comprehension have not needed to incorporate spat...
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...