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IDEAL
2000
Springer
15 years 10 months ago
Observational Learning with Modular Networks
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 ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
BIOINFORMATICS
2006
130views more  BIOINFORMATICS 2006»
15 years 6 months ago
Memory efficient folding algorithms for circular RNA secondary structures
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 ...
Ivo L. Hofacker, Peter F. Stadler
IPL
2008
82views more  IPL 2008»
15 years 6 months ago
Confusion of memory
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 ...
Lawrence S. Moss
ECAL
2007
Springer
16 years 16 days ago
PLAZZMID: An Evolutionary Agent-Based Architecture Inspired by Bacteria and Bees
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...
Susan Stepney, Tim Clarke, Peter Young
WWW
2004
ACM
16 years 7 months ago
Converting UML to OWL ontologies
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...
Dragan Gasevic, Dragan Djuric, Vladan Devedzic, Vi...