SEDiL: Software aimed
to learn tree edit distances.
Developped in JAVA (11.000 lines with javadoc comments) ;
main features :
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edition operations cost matrix learning,
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tree or string edit distance computation,
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tree and strings visualisation,
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classification using the K nearest
neighbor algorithm,
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Tree pairs generation,
DEES: Software of Multiplicity Automata inference
written in C++ (8.000 lines, 10.000 with comments) ;
main features :
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Multiplicity Automata Inference,
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Probabilistic Automata Inference
(Hidden Markov Model Inference ; learn Parameters
and Structure),
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Deterministic Probabilistic Automata Inference
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Baum Welch Algorithm
(learn parameter of an
HMM from a sample),
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GraphViz export,
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Sample generation from an MA,
- ...