Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
Scalable coordination is a key challenge in deployment of multiagent systems. Resource usage is one part of agent behavior which naturally lends itself to abstraction. CyberOrgs i...
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
The deployment of distributed component-based applications is a complex task. Proposed solutions are often centralized, which excludes their use for the deployment of large-scale a...