Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
The distributed estimation of the number of active sensors in a network can be important for estimation and organization purposes. We propose a design methodology based on the foll...
Over the past decade, there has been great interest in the study of buffer management policies in the context of packet transmission for network switches. In a typical model, a sw...
Many web databases are hidden behind restrictive form-like interfaces which may or may not provide domain information for an attribute. When attribute domains are not available, d...