This paper is motivated by a case study performed at a company that manufactures two main types of customized products. In an effort to significantly increase their throughput cap...
This paper argues for a return to fundamentals as we enter the new millennium. It argues that the field of Information Systems should no longer be distracted from its natural locu...
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
In the lifecycle of a software product line (SPL), incremental generalization is usually required to extend the variability of existing core assets to support the new or changed ap...
Parallel mixing [7] is a technique for optimizing the latency of a synchronous re-encryption mix network. We analyze the anonymity of this technique when an adversary can learn the...