Iterative improvement partitioning algorithms such as the FM algorithm of Fiduccia and Mattheyses 8 , the algorithm of Krishnamurthy 13 , and Sanchis's extensions of these al...
Lars W. Hagen, Dennis J.-H. Huang, Andrew B. Kahng
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Solving complex global problems such as illegal immigration, border control, and terrorism requires government organizations at all levels to share not only data but, more importa...
Seema Degwekar, Jeff DePree, Howard W. Beck, Carla...
Background: Tiling arrays are an important tool for the study of transcriptional activity, proteinDNA interactions and chromatin structure on a genome-wide scale at high resolutio...
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...