A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
An important aspect of Business to Business ECommerce is the agile Virtual Enterprise (VE). VEs are established when existing enterprises dynamically form temporary alliances, joi...
Alan Berfield, Panos K. Chrysanthis, Ioannis Tsama...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...