We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
Abstract. The full multigrid (FMG) algorithm is often claimed to achieve so-called discretizationlevel accuracy. In this paper, this notion is formalized by defining a worst-case r...
Carmen Rodrigo, Francisco J. Gaspar, Cornelis W. O...
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...
This paper presents an algorithm called IBP that combines case-based and model-based reasoning for an interpretive CBR application, predicting the outcome of legal cases. IBP uses ...
Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...