3076 search results - page 186 / 616 » Active Learning for Networked Data |
144
Voted
RECOMB
2007
Springer
16 years 4 months ago
2007
Springer
Learning the structure of a gene regulatory network from time-series gene expression data is a significant challenge. Most approaches proposed in the literature to date attempt to ...
134
Voted
IDEAL
2000
Springer
15 years 8 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
121
Voted
IJAR
2006
15 years 4 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
154
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ML
2010
ACM
14 years 11 months ago
2010
ACM
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
148
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AUSAI
2004
Springer
15 years 10 months ago
2004
Springer
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...