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ISNN
2005
Springer
14 years 6 days ago
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
Hailin Liu, Yiu-ming Cheung
PAM
2005
Springer
14 years 6 days ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
NIPS
1992
13 years 7 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
IJCNN
2000
IEEE
13 years 11 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
PRL
2000
182views more  PRL 2000»
13 years 6 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen