SEDiL is an easy to use software platform created in the context of the ANR Marmota Project and the PASCAL pump-priming project: "Learning Stochastic Edit Distances from Structured Data".
SEDiL aims at sharing many learning algorithms of probabilistic edit distances between structured data (sequences and trees).
Edit distances are used in many domains such as bio-informatic, image, sound and music recognition, WEB mining .
The Edit Distance represents the minimal number of necessary modifications (edit operations) to transform an input structured data into an output one.
In real world applications, the edit distances parameters are manually tuned. In domains where the level of knowledge is insufficient, it seems useful to automatically learn those parameters.
Because XML is becoming the new standard for information storage. Morever, trees provide more information than single sequences
System requirements
- Version:
SEDiL 1.2
- runs on:
- Windows All
- file size:
- 814 KB
- main category:
- Others
- developer:
- visit homepage
Windows Sandbox Launcher
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- Bitdefender Antivirus Free
- 7-Zip
- Context Menu Manager
- Windows Sandbox Launcher
- Zoom Client
- Microsoft Teams
- IrfanView
- 4k Video Downloader
- calibre
- ShareX