Abstract. Researchers have focused on assessing the quality of search algorithms by measuring effort, number of mistakes, runtime distributions and other characteristics. In this p...
Abstract. The increased availability of biological databases containing representations of complex objects permits access to vast amounts of data. In spite of the recent renewed in...
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...