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NIPS
2007
15 years 8 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
ECOWS
2007
Springer
16 years 26 days ago
Model-Driven Performance Evaluation for Service Engineering
Service engineering and service-oriented architecture as an integration and platform technology is a recent approach to software systems integration. Software quality aspects such ...
Claus Pahl, Marko Boskovic, Wilhelm Hasselbring
PPAM
2007
Springer
16 years 24 days ago
A Grid-Enabled Lattice-Boltzmann-Based Modelling System
Lattice-Boltzmann (LB) methods are a well-known technique in the context of computational fluid dynamics. By nature, they can easily be parallelized but their adaptation to the Gr...
Gérard Dethier, Cyril Briquet, Pierre March...
EKAW
2004
Springer
16 years 2 days ago
Knowledge Modelling for Deductive Web Mining
Abstract. Knowledge-intensive methods that can altogether be characterised as deductive web mining (DWM) already act as supporting technology for building the semantic web. Reusabl...
Vojtech Svátek, Martin Labský, Miros...
MASCOTS
2008
15 years 8 months ago
Optimal Layered Multicast with Network Coding: Mathematical Model and Empirical Studies
Abstract--Recent advances in network coding research dramatically changed the underlying structure of optimal multicast routing algorithms and made them efficiently computable. Whi...
Ajay Gopinathan, Zongpeng Li