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» Practical Riemannian Neural Networks
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MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 3 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 1 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
ESANN
2001
13 years 11 months ago
Prediction of foreign exchange rates by neural network and fuzzy system based techniques
: Forecasting currency exchange rates are an important financial problem that is receiving increasing attention especially because of its intrinsic difficulty and practical applica...
Vassilis S. Kodogiannis, A. Lolis
IJCNN
2006
IEEE
14 years 3 months ago
Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations
—A new application of the NN ensemble approach is presented. It is applied to NN emulations of model physics in complex numerical climate models, and aimed at improving the accur...
Michael S. Fox-Rabinovitz, Vladimir M. Krasnopolsk...
HYBRID
1997
Springer
14 years 2 months ago
Controller Scheduling Using Neural Networks: Implementation and Experimental Results
This paper presents the results of simulation and control experiments using a recently proposed method for real-time switching among a pool of controllers. The switching strategy ...
Enrique D. Ferreira, Bruce H. Krogh