Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
UML diagrams have become increasingly important in the engineering and reengineering processes for software systems. Of particular interest are UML class diagrams whose purpose is...
Text documents can be watermarked by patterning the inter-word spaces. This paper proposes a text watermarking algorithm that exploits the novel concepts of word classification an...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...