Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in...
We explore different prefetch distance-degree combinations and very simple, low-cost adaptive policies on a superscalar core with a high bandwidth, high capacity on-chip memory hie...
In the context of Natural Language Processing, annotation is about recovering implicit information that is useful for natural language applications. In this paper we describe a &q...
What is the "high level view" of data on the Web that can be traced down within W3C's rich roadmap of technologies? What the relationships between the "big need...
We propose a new adaptive filtering algorithm whose convergence rate is very fast even for a highly correlated input signal. It is well-known that convergence rate gets worse when...