This work presents a comprehensive theoretical framework for window-based congestion control protocols that are designed to converge to fairness and efficiency. We first derive ...
The increasing number of knowledge-based systems that build on a Bayesian belief network or influence diagram acknowledge the usefulness of these frameworks for addressing complex...
The (M, W)-controller, originally studied by Afek, Awerbuch, Plotkin, and Saks, is a basic ted tool that provides an abstraction for managing the consumption of a global resource ...
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...