We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
In many applications one is concerned with the approximation of functions from a finite set of scattered data sites with associated function values. We describe a scheme for cons...
The ViewPoints framework for distributed and concurrent software engineering provides an alternative approach to traditional centralised software development environments. We inve...
Even modern component architectures do not provide for easily manageable context-sensitive adaptability, a key requirement for ambient intelligence. The reason is that components a...