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CAISE
2009
Springer
15 years 11 months ago
Configurable Process Models: Experiences from a Municipality Case Study
Configurable process models integrate different variants of a business process into a single model. Through configuration users of such models can then combine the variants to deri...
Florian Gottschalk, Teun A. C. Wagemakers, Monique...
191
Voted
ICASSP
2009
IEEE
16 years 1 months ago
Interpolating hidden Markov model and its application to automatic instrument recognition
This paper proposes an interpolating extension to hidden Markov models (HMMs), which allows more accurate modeling of natural sounds sources. The model is able to produce observat...
Tuomas Virtanen, Toni Heittola
166
Voted
ICML
2003
IEEE
16 years 7 months ago
Tractable Bayesian Learning of Tree Augmented Naive Bayes Models
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
Jesús Cerquides, Ramon López de M&aa...
177
Voted
OTM
2007
Springer
16 years 1 months ago
Understanding the Occurrence of Errors in Process Models Based on Metrics
Abstract. Business process models play an important role for the management, design, and improvement of process organizations and processaware information systems. Despite the exte...
Jan Mendling, Gustaf Neumann, Wil M. P. van der Aa...
187
Voted
SCFBM
2008
138views more  SCFBM 2008»
15 years 6 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
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