Difference between revisions of "Margin Infused Relaxed Algorithm"
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== Summary == | == Summary == | ||
| + | MIRA is an online large-margin training algorithm which updates the weight vector according to certain margin constraints and loss function. It is used to learn the weights of features after processing each training instance. | ||
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| + | == Definition == | ||
Revision as of 17:24, 29 September 2011
This method is used by Watanabe et al., EMNLP 2007 to train an MT system a with a very large number of features of the order of millions. The training step was performed using a specific algorithm called the Margin Infused Relaxed Algorithm (MIRA) proposed by
Summary
MIRA is an online large-margin training algorithm which updates the weight vector according to certain margin constraints and loss function. It is used to learn the weights of features after processing each training instance.
