In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three ma...
Shawn Martin, George Davidson, Elebeoba E. May, Je...
Model programs are a useful formalism for software testing and design analysis. They are used in industrial tools, such as SpecExplorer, as a compact, expressive and precise way to...
MapStats for Kids is concerned with the development of online learning activities based on data from the FedStats web portal. The development of these web applications requires th...
Sven Fuhrmann, John Bosley, Roger Downs, Mark Gahe...
Concerning different approaches to automatic PoS tagging: EngCG-2, a constraintbased morphological tagger, is compared in a double-blind test with a state-of-the-art statistical t...
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...