Previous researchers note the problem for semantic optimisation of database queries caused by its production of a large number of semantically equivalent alternative queries, from...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Software Configuration Management (SCM) is the discipline of controlling the evolution of a software product. Product Data Management (PDM) is the disciple of designing and control...
In recent years realistic input models for geometric algorithms have been studied. The most important models introduced are fatness, low density, unclutteredness, and small simple...
Mark de Berg, Haggai David, Matthew J. Katz, Mark ...
Simulation at the machine-control level plays an important role in designing machine controls and operational specifications. Recently, there has been a considerable amount of wor...