1032 search results - page 189 / 207 » Efficient Learning of Neural Networks with Evolutionary Algo... |
160
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VLDB
2006
ACM
15 years 10 months ago
2006
ACM
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
110
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
109
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SSPR
2004
Springer
15 years 3 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...