Skip to content
Closed
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,7 @@ prototype-based explanations and concept-based explanations among others.
over many individual instances. The basic idea is to identify certain generalizable *concepts* which are then connected to a certain impact
toward the model's prediction outcome. One such concept is generally defined as a common underlying pattern that is shared among multiple instances
of the dataset. From a technical perspective, a concept can be defined as a set of input fragments. What exactly these input fragments are differs
between application domains. In image processing, for example, these fragments are super pixels or image segments and in langauge processing they
between application domains. In image processing, for example, these fragments are super pixels or image segments and in language processing they
can be words or phrases. In the graph processing domain, these input fragments are subgraph motifs which can be contained in multiple different
graphs of the dataset.

Expand Down Expand Up @@ -300,4 +300,4 @@ Credits
with these experiments.

.. _PyComex: https://github.com/the16thpythonist/pycomex.git
.. _MEGAN: https://link.springer.com/chapter/10.1007/978-3-031-44067-0_18
.. _MEGAN: https://link.springer.com/chapter/10.1007/978-3-031-44067-0_18