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» Structure learning of Bayesian networks using constraints
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ICASSP
2011
IEEE
14 years 8 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
TASE
2008
IEEE
15 years 4 months ago
Modeling and Supervisory Control of Railway Networks Using Petri Nets
In this paper we deal with the problem of modeling railway networks with Petri nets so as to apply the theory of supervisory control for discrete event systems to automatically de...
Alessandro Giua, Carla Seatzu
PERCOM
2004
ACM
16 years 4 months ago
Proselytizing Pervasive Computing Education: A Strategy and Approach Influenced by Human-Computer Interaction
A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engin...
D. Scott McCrickard, Christa M. Chewar
CVPR
2012
IEEE
13 years 6 months ago
Steerable part models
We describe a method for learning steerable deformable part models. Our models exploit the fact that part templates can be written as linear filter banks. We demonstrate that one...
Hamed Pirsiavash, Deva Ramanan
WIOPT
2010
IEEE
15 years 2 months ago
Enhancing RRM optimization using a priori knowledge for automated troubleshooting
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...