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This is a simple (and parallelizable) tuning method for cdec
which enables training weights of very many (sparse) features
on the full training set.
Please cite as:
> "Joint Feature Selection in Distributed Stochastic
> Learning for Large-Scale Discriminative Training in
> SMT" (Simianer, Riezler, Dyer; ACL 2012)
>
Building
--------
Builds when building cdec, see ../../BUILDING .
Running
-------
Download runnable examples for all use cases from [1] and extract here.
Legal
-----
Copyright (c) 2012-2015 by Patrick Simianer <p@simianer.de>
See the file LICENSE.txt in the root folder for the licensing terms that this software is
released under.
[1] http://simianer.de/dtrain-example.tar.gz
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