The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
The Adaptive Parallelism Environment is introduced as a means of effectively utilizing MPP processing resources in a multi-programmed MIMD or distributed system. It achieves this...
Autonomousagentsin the real world must be capableof asynchronous goal generation. However, one consequence of this ability is that the agent may generate a substantial number of go...
—We perform a statistical analysis and describe the asymptotic behavior of the frequency and size distribution of δoccurrent, minimal δ-occurrent, and maximal δ-occurrent item...
We introduce a generic framework for the distributed execution of combinatorial optimization tasks. Instead of relying on custom hardware (like dedicated parallel machines or clus...