Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
A small class of RNA molecules, in particular the tiny genomes of viroids, are circular. Yet most structure prediction algorithms handle only linear RNAs. The most straightforward ...
It is a truism that for a machine to have a useful access to memory or workspace, it must "know" where its input ends and its working memory begins. Most machine models ...
Abstract. Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses o...
This paper presents automatic generation of the Web Ontology Language (OWL) from an UML model. The solution is based on an MDA-defined architecture for ontology development and th...