Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Abstract. The computational genome-wide annotation of gene functions requires the prediction of hierarchically structured functional classes and can be formalized as a multiclass, ...
In this paper we define partial order semantics of types of nets. Types of nets are a parametric definition of Petri nets originally developed for a general presentation of the s...