We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
In this paper the online pull-based broadcast model is considered. In this model, there are n pages of data stored at a server and requests arrive for pages online. When the serve...
Abstract: Research in sociology studies the effectiveness of social networks in achieving computational tasks. Typically the agents who are supposed to achieve a task are unaware o...
In this paper, we propose an automatic method for generating roads based on a weighted anisotropic shortest path algorithm. Given an input scene, we automatically create a path co...
Eric Galin, Adrien Peytavie, Nicolas Maréchal, Er...
- This paper describes a new architectural paradigm for fully connected, single-hop system level interconnection networks. The architecture is scalable enough to meet the needs of ...
Kelli Ireland, Donald M. Chiarulli, Steven P. Levi...