Critical components of a distributed system must be replicated to achieve high availability and fault tolerance. Current faulttolerant CORBA infrastructures have concentrated on m...
Wenbing Zhao, Louise E. Moser, P. M. Melliar-Smith
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...