3076 search results - page 4 / 616 » Active Learning for Networked Data |
GECCO
2009
Springer
15 years 1 months ago
2009
Springer
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
156
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NCA
2011
IEEE
14 years 4 months ago
2011
IEEE
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...
94
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ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
IJCNN
2000
IEEE
15 years 1 months ago
2000
IEEE
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...