The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
It is well known that optimal server placement is NP-hard. We present an approximate model for the case when both clients and servers are dense, and propose a simple server alloca...
We describe work to control graphics rendering under limited computational resources by taking a decision-theoretic perspective on perceptual costs and computational savings of ap...
We develop a multi-objective model for resource allocation problem in PERT networks with exponentially or Erlang distributed activity durations, where the mean duration of each ac...
Amir Azaron, Hideki Katagiri, Masatoshi Sakawa, Ko...
The study presented in this paper is motivated by the performance analysis of response times in distributed information systems, where transactions are handled by iterative server...
Robert D. van der Mei, Bart Gijsen, N. in't Veld, ...