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BC
2005
80views more  BC 2005»
13 years 8 months ago
Dynamics of multifrequency coordination using parametric driving: theory and experiment
Abstract The coupling of movement behavior and environmental signals has been extensively studied within the domain of rhythmic coordination tasks. However, in contrast to most tra...
Collins G. Assisi, Viktor K. Jirsa, J. A. Scott Ke...
LCN
2005
IEEE
14 years 2 months ago
Automated Traffic Classification and Application Identification using Machine Learning
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 20 days ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
IJCSA
2007
100views more  IJCSA 2007»
13 years 8 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
14 years 3 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...