56 search results - page 6 / 12 » Semi-supervised Learning by Entropy Minimization |
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
ATAL
2011
Springer
12 years 7 months ago
2011
Springer
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
COLT
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...