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» Variability Management on Behavioral Models
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SUM
2009
Springer
14 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
JMLR
2010
141views more  JMLR 2010»
13 years 2 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
COOPIS
2004
IEEE
13 years 11 months ago
Discovering Workflow Transactional Behavior from Event-Based Log
Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performanc...
Walid Gaaloul, Sami Bhiri, Claude Godart
JUCS
2007
146views more  JUCS 2007»
13 years 7 months ago
Ontology and Grammar of the SOPHIE Choreography Conceptual Framework - An Ontological Model for Knowledge Management
: Ontologies have been recognized as a fundamental infrastructure for advanced approaches to Knowledge Management (KM) automation in SOA. Building services communicate with each ot...
Sinuhé Arroyo
ICSE
2008
IEEE-ACM
14 years 7 months ago
An integrated aspect-oriented model-driven software product line tool suite
Software product line engineering is mostly about the systematic management of commonality and variability between product line members. The effectiveness of this approach thus ve...
Christa Schwanninger, Iris Groher, Markus Völ...