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» Modelling Business Process Performance
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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 1 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
150
Voted
TCS
2010
14 years 10 months ago
A fluid analysis framework for a Markovian process algebra
Markovian process algebras, such as PEPA and stochastic -calculus, bring a powerful compositional approach to the performance modelling of complex systems. However, the models gen...
Richard A. Hayden, Jeremy T. Bradley
OTM
2004
Springer
15 years 8 months ago
Using Patterns in the Design of Inter-organizational Systems - An Experience Report
Abstract. The modeling, design, and implementation of inter-organizational systems (IOS) is a challenging new problem. In contrast to previous systems, where components have clearl...
John Novatnack, Jana Koehler
108
Voted
NIPS
2003
15 years 4 months ago
Nonstationary Covariance Functions for Gaussian Process Regression
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
Christopher J. Paciorek, Mark J. Schervish
113
Voted
EPK
2004
122views Management» more  EPK 2004»
15 years 4 months ago
Transformation of ARIS Markup Language to EPML
: Heterogeneous and proprietary interchange formats pose a major problem for business process management. This applies in particular to processes that have been modelled as Event-D...
Jan Mendling, Markus Nüttgens