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ICML
2007
IEEE
14 years 9 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
NIPS
2004
13 years 10 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
CONTEXT
2001
Springer
14 years 1 months ago
Learning Appropriate Contexts
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
Bruce Edmonds
ICRA
2008
IEEE
124views Robotics» more  ICRA 2008»
14 years 3 months ago
Simultaneous learning of motion and sensor model parameters for mobile robots
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
Teddy N. Yap Jr., Christian R. Shelton
NN
2000
Springer
123views Neural Networks» more  NN 2000»
13 years 8 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari