Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
We describe an application of AI search and information visualization techniques to the problem of school redistricting, in which students are assigned to home schools within a co...
Marie desJardins, Blazej Bulka, Ryan Carr, Andrew ...
Probabilistic models have recently been utilized for the optimization of large combinatorial search problems. However, complex probabilistic models that attempt to capture interpa...
or cone, abstraction is chosen to represent a spectrum of user inputs/requirements that are narrowed, refined, and structured into a system design. User inputs require refinement f...
K. Suzanne Barber, Thomas J. Graser, Paul Grisham,...
The technology for building large knowledge bases (KBs) is yet to witness a breakthrough so that a KB can be constructed by the assembly of prefabricated knowledge components. Kno...
Vinay K. Chaudhri, Adam Farquhar, Richard Fikes, P...