3076 search results - page 146 / 616 » Active Learning for Networked Data |
152
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AMAI
2004
Springer
15 years 9 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
143
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EUROCOLT
1997
Springer
15 years 8 months ago
1997
Springer
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
135
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
156
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JMLR
2008
15 years 4 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
136
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FPL
2004
Springer
15 years 9 months ago
2004
Springer
Several implementations of Artificial Neural Networks have been reported in scientific papers. Nevertheless, these implementations do not allow the direct use of off-line trained n...