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authorPatrick Simianer <p@simianer.de>2015-09-19 11:05:23 +0200
committerPatrick Simianer <p@simianer.de>2015-09-19 11:05:23 +0200
commit92a376c3479a18e2a6f674ecc6955a7eb29f217a (patch)
tree3ac35108b8ca53299db638bf7f7695c93f4806f5 /training/dtrain/README.md
parent86ea4ed498d96c1d988f2287afa580dcf558ddb0 (diff)
dtrain: current version
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This is a simple (and parallelizable) tuning method for cdec
-which is able to train the weights of very many (sparse) features
-on the training set.
+which enables training weights of very many (sparse) features
+on the full training set.
-It was used in these papers:
+Please cite as:
> "Joint Feature Selection in Distributed Stochastic
> Learning for Large-Scale Discriminative Training in
> SMT" (Simianer, Riezler, Dyer; ACL 2012)
>
-> "Multi-Task Learning for Improved Discriminative
-> Training in SMT" (Simianer, Riezler; WMT 2013)
->
-
Building
--------
-Builds when building cdec, see ../BUILDING .
-To build only parts needed for dtrain do
-```
- autoreconf -ifv
- ./configure
- cd training/dtrain/; make
-```
+Builds when building cdec, see ../../BUILDING .
Running
-------
-See directories under examples/ .
+Download runnable examples for all use cases from [1] and extract here.
Legal
-----
-Copyright (c) 2012-2013 by Patrick Simianer <p@simianer.de>
+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
+