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src_docs/contents.rst

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@@ -37,7 +37,7 @@ projecting application :math:`\phi` which aims to correct the difference between
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and **target** distributions. The **task** is then learned in this **encoded feature space**.
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.. figure:: _static/images/feature_based.PNG
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.. figure:: _static/images/feature_based.png
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:align: center
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:alt: alternate text
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:figclass: align-center
@@ -78,7 +78,7 @@ This **reweighting** consists in multiplying, during the training process, the i
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The **reweighted** training instances are then directly used to learn the task.
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.. figure:: _static/images/instance_based.PNG
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.. figure:: _static/images/instance_based.png
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:align: center
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:alt: alternate text
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:figclass: align-center
@@ -111,7 +111,7 @@ In parameter-based methods, the **parameters** of one or few pre-trained models
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the **source** data are adapted to build a suited model for the **task** on the **target** domain.
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.. figure:: _static/images/parameter_based.PNG
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.. figure:: _static/images/parameter_based.png
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:align: center
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:alt: alternate text
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@@ -161,4 +161,4 @@ This module contains utility functions used in the previous modules.
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utils.make_regression_da
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.. include:: examples_gallery.rst
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.. include:: examples_gallery.rst

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