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Electrical and Computer Engineering Commons™
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Full-Text Articles in Electrical and Computer Engineering
Rna Search With Decision Trees And Partial Covariance Models, Jennifer A. Smith
Rna Search With Decision Trees And Partial Covariance Models, Jennifer A. Smith
Electrical and Computer Engineering Faculty Publications and Presentations
The use of partial covariance models to search for RNA family members in genomic sequence databases is explored. The partial models are formed from contiguous subranges of the overall RNA family multiple alignment columns. A binary decision-tree framework is presented for choosing the order to apply the partial models and the score thresholds on which to make the decisions. The decision trees are chosen to minimize computation time subject to the constraint that all of the training sequences are passed to the full covariance model for final evaluation. Computational intelligence methods are suggested to select the decision tree since the …
A Successful Interdisciplinary Course On Computational Intelligence, Ganesh K. Venayagamoorthy
A Successful Interdisciplinary Course On Computational Intelligence, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
This article presents experiences from the introduction of a new three hour interdisciplinary course on computational intelligence (CI) taught at the Missouri University of Science and Technology, USA at the undergraduate and graduate levels. This course is unique in the sense that it covers five main paradigms of CI and their integration to develop hybrid intelligent systems. The paradigms covered are artificial immune systems (AISs), evolutionary computing (EC), fuzzy systems (FSs), neural networks (NNs) and swarm intelligence (SI). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids of these paradigms …