283 search results - page 37 / 57 » Neural Learning from Unbalanced Data |
NIPS
1993
13 years 9 months ago
1993
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
ICANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
ISNN
2011
Springer
12 years 10 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
TNN
2008
13 years 7 months ago
2008
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...