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JMLR
2006
143views more  JMLR 2006»
15 years 6 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
PNPM
1987
15 years 9 months ago
Toward a Definition of Modeling Power for Stochastic Petri Net Models
Some insight on the meaning of "modeling power" for Stochastic Petri Net models is given. Extensions characterizing a Stochastic Petri Net are categorized as logical or ...
Gianfranco Ciardo
IJON
2007
79views more  IJON 2007»
15 years 6 months ago
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two co
An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protoc...
Claudia Clopath, Renaud Jolivet, Alexander Rauch, ...
ICAS
2006
IEEE
103views Robotics» more  ICAS 2006»
16 years 9 days ago
Model Driven capabilities of the DA-GRS model
— The development of applications that target dynamic networks often adresses the same difficulties. Since the underlying network topology is unstable, the application has to ha...
Arnaud Casteigts
NAACL
2004
15 years 7 months ago
Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models
Organizations are increasingly turning to spoken dialog systems for automated call routing to reduce call center costs. To maintain quality service even in cases of failure, these...
Tim Paek, Eric Horvitz