A dynamic optimizer is a runtime software system that groups a program’s instruction sequences into traces, optimizes those traces, stores the optimized traces in a softwarebase...
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Amtoft has formulated an "on-line" constraint normalization method for solving a strictness inference problem inspired by Wright. From the syntactic form of the normaliz...
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
John Thornton, Jolon Faichney, Michael Blumenstein...