Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
Although much has been written about various information integration technologies, little has been said regarding how to combine these technologies together to build an entire &qu...
Greg Barish, Craig A. Knoblock, Yi-Shin Chen, Stev...
The random k-SAT model is extensively used to compare satisfiability algorithms or to find the best settings for the parameters of some algorithm. Conclusions are derived from the...
We shed light on the connections between different approaches to constraint satisfaction by showing that the main consistency concepts used to derive tractability results for cons...
A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts' decision...