We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
Endeca’s approach to processing search queries in a distributed computing environment is predicated on concerns of correctness, scalability, and flexibility in deployment. Using...
People are performing increasingly complicated actions on the web, such as automated purchases involving multiple sites. Things often go wrong, however, and it can be difficult to...
The outputs of multi-layer perceptron (MLP) classifiers have been successfully used in tandem systems as features for HMM-based automatic speech recognition. In a previous paper, ...
As Java is the preferred platform for the deployment of network computers, it is appealing to run multiple applications on a single Java desktop. We experimented with using the Ja...