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98
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OTM
2007
Springer
15 years 6 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...
110
Voted
NECO
1998
119views more  NECO 1998»
15 years 12 days ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
95
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Pitch bends and tonguing articulation in clarinet physical modeling synthesis
A physical modeling approach is used to investigate playing effects in woodwind instruments. This builds upon prior work concerning both empirical studies of the acoustics of the ...
Mark Sterling, Xiaoxiao Dong, Mark Bocko
AAAI
2011
14 years 22 days ago
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
90
Voted
AAAI
2008
15 years 3 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small