This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction tas...
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
In this paper a novel solution to automatic and unsupervised word sense induction (WSI) is introduced. It represents an instantiation of the `one sense per collocation' obser...
In this paper we investigate the performance of a Computer Aided Diagnosis (CAD) system for the detection of clustered microcalcifications in mammograms. Our detection algorithm co...
Several multithreading techniques have been proposed to reduce the resource underutilization in Very Long Instruction Word (VLIW) processors. Simultaneous MultiThreading (SMT) is ...