Abstract. Service-oriented Computing and Service-oriented Architectures aspire to better exploit existing middleware technologies. To this end, a more flexible, platform independen...
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
Approximation of the permanent of a matrix with nonnegative entries is a well studied problem. The most successful approach to date for general matrices uses Markov chains to appr...
This paper proposes a method which assists the firms for cooperating in make-to-order production. We especially focus on the operational decision levels of manufacturing companies ...
Emmanuelle Monsarrat, Cyril Briand, Patrick Esquir...
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...