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PR
2011
14 years 4 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos
IPPS
1999
IEEE
15 years 2 months ago
Experimental Evaluation of QSM, a Simple Shared-Memory Model
Parallel programming models should attempt to satisfy two conflicting goals. On one hand, they should hide architectural details so that algorithm designers can write simple, port...
Brian Grayson, Michael Dahlin, Vijaya Ramachandran
ICASSP
2011
IEEE
14 years 1 months ago
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
Hao Chen, Yu Gong, Xia Hong
IEEESCC
2005
IEEE
15 years 3 months ago
Transforming Business Process Models: Enabling Programming at a Higher Level
Two practical paradigms are presented, which facilitate domain concepts to be directly used to model business operations: the first paradigm is based on the business artifacts and...
Wei Zhao, Barrett R. Bryant, Fei Cao, Kamal Bhatta...
GECCO
2004
Springer
130views Optimization» more  GECCO 2004»
15 years 3 months ago
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA
The Shifting Balance Genetic Algorithm (SBGA) is an extension of the Genetic Algorithm (GA) that was created to promote guided diversity to improve performance in highly multimodal...
Mark Wineberg, Jun Chen