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JCIT
2007
158views more  JCIT 2007»
15 years 4 months ago
A Guidance Process for the Selection of Business Process Modelling Techniques for the Revised Business Process Reengineering
Business Process Reengineering is a reverse design process that allows for radical improvement in quality, service, cycle times, productivity and cost for a specific market or cus...
Leila Jamel Menzli, Sonia Ayachi Ghannouchi, Henda...
JMLR
2006
92views more  JMLR 2006»
15 years 4 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
ESANN
2003
15 years 5 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
NIPS
2001
15 years 5 months ago
A Neural Oscillator Model of Auditory Selective Attention
A model of auditory grouping is described in which auditory attention plays a key role. The model is based upon an oscillatory correlation framework, in which neural oscillators r...
Stuart N. Wrigley, Guy J. Brown
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
15 years 11 months ago
A stochastic model of selective visual attention with a dynamic Bayesian network
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
Derek Pang, Akisato Kimura, Tatsuto Takeuchi, Junj...