1172 search results - page 129 / 235 » From Data Distributions to Regularization in Invariant Learn... |
139
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
A new algorithm for training Restricted Boltzmann Machines is introduced. The algorithm, named Persistent Contrastive Divergence, is different from the standard Contrastive Diverg...
167
Voted
HIPC
1999
Springer
15 years 8 months ago
1999
Springer
Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
140
Voted
SDM
2008
SIAM
15 years 5 months ago
2008
SIAM
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
127
Voted
IPSN
2010
Springer
15 years 10 months ago
2010
Springer
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
145
Voted
TNN
2010
14 years 10 months ago
2010
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...