In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Although the ability to model and infer Attacker Intent, Objectives and Strategies (AIOS) may dramatically advance the literature of risk assessment, harm prediction, and predicti...
Commercial servers, such as database or application servers, often attempt to improve performance via multithreading. Improper multi-threading architectures can incur contention, ...
We address the problem of improving the efficiency of natural language text input under degraded conditions (for instance, on mobile computing devices or by disabled users), by ta...
We present a resource management algorithm based upon guided “walks” within a system state space. Walks are guided via simple predictions of optimum behavior whose accuracy inc...