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Computer Heuristics

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Evaluating the usability of an interactive, bi-lingual, touchscreen-enabled breastfeeding educational programme: application of Nielson's heuristics.

Journal of innovation in health informatics
The study purpose was to conduct heuristic evaluation of an interactive, bilingual touchscreen-enabled breastfeeding educational programme for Hispanic women living in rural settings in Nebraska. Three raters conducted the evaluation during May 2013 ...

Clustering high throughput biological data with B-MST, a minimum spanning tree based heuristic.

Computers in biology and medicine
To address important challenges in bioinformatics, high throughput data technologies are needed to interpret biological data efficiently and reliably. Clustering is widely used as a first step to interpreting high dimensional biological data, such as...

A general proof of consistency of heuristic classification for cognitive diagnosis models.

The British journal of mathematical and statistical psychology
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633-665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is g...

Efficient heuristics for maximum common substructure search.

Journal of chemical information and modeling
Maximum common substructure search is a computationally hard optimization problem with diverse applications in the field of cheminformatics, including similarity search, lead optimization, molecule alignment, and clustering. Most of these application...

Biomedical image segmentation using geometric deformable models and metaheuristics.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
This paper describes a hybrid level set approach for medical image segmentation. This new geometric deformable model combines region- and edge-based information with the prior shape knowledge introduced using deformable registration. Our proposal con...

Two fast and accurate heuristic RBF learning rules for data classification.

Neural networks : the official journal of the International Neural Network Society
This paper presents new Radial Basis Function (RBF) learning methods for classification problems. The proposed methods use some heuristics to determine the spreads, the centers and the number of hidden neurons of network in such a way that the higher...