We use game theorectic models to show the lack of incentives in the TCP congestion avoidance algorithm and the consequential systemwide network problems. We then propose a Vickery-...
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
— This paper presents an environment targeted at computer games development industrialization in the .NET Platform. A computer game product line definition and its architecture a...
We have developed an informative sample subspace (ISS) method that is suitable for projecting high-dimensional data onto a low-dimensional subspace for classification purposes. In...
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...