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» Solving the Ill-Conditioning in Neural Network Learning
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NIPS
1996
14 years 10 days ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
ICANN
2001
Springer
14 years 3 months ago
Towards Learning Path Planning for Solving Complex Robot Tasks
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
ICANN
2007
Springer
14 years 24 days ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada
IFIP12
2004
14 years 12 days ago
Ensembles of Multi-Instance Neural Networks
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...
Min-Ling Zhang, Zhi-Hua Zhou
ICANN
2011
Springer
13 years 2 months ago
Learning Curves for Gaussian Processes via Numerical Cubature Integration
This paper is concerned with estimation of learning curves for Gaussian process regression with multidimensional numerical integration. We propose an approach where the recursion e...
Simo Särkkä