Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata

Denis Arrivault, Dominique Benielli, François Denis, Remi Eyraud
Proceedings of The 13th International Conference on Grammatical Inference, PMLR 57:105-119, 2017.

Abstract

Sp2Learn is a Python toolbox for the spectral learning of weighted automata from a set of strings, licensed under Free BSD. This paper gives the main formal ideas behind the spectral learning algorithm and details the content of the toolbox. Use cases and an experimental section are also provided.

Cite this Paper

BibTeX
@InProceedings{pmlr-v57-arrivault16, title = {{Sp2Learn}: A Toolbox for the Spectral Learning of Weighted Automata}, author = {Arrivault, Denis and Benielli, Dominique and Denis, François and Eyraud, Remi}, booktitle = {Proceedings of The 13th International Conference on Grammatical Inference}, pages = {105--119}, year = {2017}, editor = {Verwer, Sicco and Zaanen, Menno van and Smetsers, Rick}, volume = {57}, series = {Proceedings of Machine Learning Research}, address = {Delft, The Netherlands}, month = {05--07 Oct}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v57/arrivault16.pdf}, url = {http://proceedings.mlr.press/v57/arrivault16.html}, abstract = {Sp2Learn is a Python toolbox for the spectral learning of weighted automata from a set of strings, licensed under Free BSD. This paper gives the main formal ideas behind the spectral learning algorithm and details the content of the toolbox. Use cases and an experimental section are also provided.} }
Endnote
%0 Conference Paper %T Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata %A Denis Arrivault %A Dominique Benielli %A François Denis %A Remi Eyraud %B Proceedings of The 13th International Conference on Grammatical Inference %C Proceedings of Machine Learning Research %D 2017 %E Sicco Verwer %E Menno van Zaanen %E Rick Smetsers %F pmlr-v57-arrivault16 %I PMLR %P 105--119 %U http://proceedings.mlr.press/v57/arrivault16.html %V 57 %X Sp2Learn is a Python toolbox for the spectral learning of weighted automata from a set of strings, licensed under Free BSD. This paper gives the main formal ideas behind the spectral learning algorithm and details the content of the toolbox. Use cases and an experimental section are also provided.
RIS
TY - CPAPER TI - Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata AU - Denis Arrivault AU - Dominique Benielli AU - François Denis AU - Remi Eyraud BT - Proceedings of The 13th International Conference on Grammatical Inference DA - 2017/01/16 ED - Sicco Verwer ED - Menno van Zaanen ED - Rick Smetsers ID - pmlr-v57-arrivault16 PB - PMLR DP - Proceedings of Machine Learning Research VL - 57 SP - 105 EP - 119 L1 - http://proceedings.mlr.press/v57/arrivault16.pdf UR - http://proceedings.mlr.press/v57/arrivault16.html AB - Sp2Learn is a Python toolbox for the spectral learning of weighted automata from a set of strings, licensed under Free BSD. This paper gives the main formal ideas behind the spectral learning algorithm and details the content of the toolbox. Use cases and an experimental section are also provided. ER -
APA
Arrivault, D., Benielli, D., Denis, F. & Eyraud, R.. (2017). Sp2Learn: A Toolbox for the Spectral Learning of Weighted Automata. Proceedings of The 13th International Conference on Grammatical Inference, in Proceedings of Machine Learning Research 57:105-119 Available from http://proceedings.mlr.press/v57/arrivault16.html.

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