567 search results - page 74 / 114 » Convergence of a Neural Network Classifier |
APIN
1999
13 years 8 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
ICONIP
2008
13 years 10 months ago
2008
Abstract. While injecting weight noise during training has been proposed for more than a decade to improve the convergence, generalization and fault tolerance of a neural network, ...
ICANN
2005
Springer
14 years 2 months ago
2005
Springer
Multidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a lowdimensional target space. Thereby, the distance relationshi...
IWANN
2007
Springer
14 years 3 months ago
2007
Springer
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
Abstract— Independent subspace analysis (ISA) is a generalization of independent component analysis (ICA), where multidimensional ICA is incorporated with the idea of invariant f...