Abstract:
This paper proposes a new text categorisation method based
on the critical vector learning algorithm. By using the proposed approach,
the number of support vectors has been significantly reduced by
implementing a Bayesian treatment of a generalised linear model with
identical function form to the function form of support vector machines
approach. This leads to much reduced computational complexity in the
prediction process, which is critical in online applications.
