Tree Edit Distance Learning via Adaptive Symbol Embeddings

Paaßen B (2018)
Bielefeld University.

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Abstract / Bemerkung
This directory contains the source code corresponding to the ICML 2018 paper [Tree Edit Distance Learning via Adaptive Symbol Embeddings](https://pub.uni-bielefeld.de/publication/2919844). In particular, it contains the MATLAB (R) script `demo.m` which performs a metric learning experiment on the 'strings' data set described in the paper. All dependencies to run the script are also included in this distribution.
Stichworte
metric learning; learning vector quantization; word embeddings; tree edit distance
Erscheinungsjahr
2018
Copyright und Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2919994

Zitieren

Paaßen B. Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University; 2018.
Paaßen, B. (2018). Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University. doi:10.4119/unibi/2919994
Paaßen, Benjamin. 2018. Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University.
Paaßen, B. (2018). Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University.
Paaßen, B., 2018. Tree Edit Distance Learning via Adaptive Symbol Embeddings, Bielefeld University.
B. Paaßen, Tree Edit Distance Learning via Adaptive Symbol Embeddings, Bielefeld University, 2018.
Paaßen, B.: Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University (2018).
Paaßen, Benjamin. Tree Edit Distance Learning via Adaptive Symbol Embeddings. Bielefeld University, 2018.
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2019-09-06T09:18:59Z
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