We propose a surprisingly simple new way of breaking all value symmetries with constraints. Our method requires the addition of one variable per value of the problem plus a linear ...
A set of experiments for learning the values of chess pieces is described for the popular chess variants Crazyhouse Chess, Suicide Chess, and Atomic Chess. We follow an establishe...
Value Prediction is a relatively new technique to increase instruction-level parallelism by breaking true data dependence chains. A value prediction architecture produces values, ...
Recently, the practice of speculation in resolving data dependences has been studied as a means of extracting more instruction level parallelism (ILP). An outcome of an instructio...
This study extends the concept of weak and strong ties to the relationship between an individual and a project, in the context of a formal review process. Using data collected fro...