A Spectral Method that Worked Well in the SPiCe’16 Competition

Farhana Ferdousi Liza, Marek Grześ
; Proceedings of The 13th International Conference on Grammatical Inference, PMLR 57:143-148, 2017.

Abstract

We present methods used in our submission to the Sequence Prediction ChallengE (SPiCe’16). The two methods used to solve the competition tasks were spectral learning and a count based method. Spectral learning led to better results on most of the problems.

Cite this Paper


BibTeX
@InProceedings{pmlr-v57-liza16, title = {A Spectral Method that Worked Well in the {SPiCe}'16 Competition}, author = {Farhana Ferdousi Liza and Marek Grześ}, booktitle = {Proceedings of The 13th International Conference on Grammatical Inference}, pages = {143--148}, year = {2017}, editor = {Sicco Verwer and Menno van Zaanen and Rick Smetsers}, volume = {57}, series = {Proceedings of Machine Learning Research}, address = {Delft, The Netherlands}, month = {05--07 Oct}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v57/liza16.pdf}, url = {http://proceedings.mlr.press/v57/liza16.html}, abstract = {We present methods used in our submission to the Sequence Prediction ChallengE (SPiCe’16). The two methods used to solve the competition tasks were spectral learning and a count based method. Spectral learning led to better results on most of the problems.} }
Endnote
%0 Conference Paper %T A Spectral Method that Worked Well in the SPiCe’16 Competition %A Farhana Ferdousi Liza %A Marek Grześ %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-liza16 %I PMLR %J Proceedings of Machine Learning Research %P 143--148 %U http://proceedings.mlr.press %V 57 %W PMLR %X We present methods used in our submission to the Sequence Prediction ChallengE (SPiCe’16). The two methods used to solve the competition tasks were spectral learning and a count based method. Spectral learning led to better results on most of the problems.
RIS
TY - CPAPER TI - A Spectral Method that Worked Well in the SPiCe’16 Competition AU - Farhana Ferdousi Liza AU - Marek Grześ BT - Proceedings of The 13th International Conference on Grammatical Inference PY - 2017/01/16 DA - 2017/01/16 ED - Sicco Verwer ED - Menno van Zaanen ED - Rick Smetsers ID - pmlr-v57-liza16 PB - PMLR SP - 143 DP - PMLR EP - 148 L1 - http://proceedings.mlr.press/v57/liza16.pdf UR - http://proceedings.mlr.press/v57/liza16.html AB - We present methods used in our submission to the Sequence Prediction ChallengE (SPiCe’16). The two methods used to solve the competition tasks were spectral learning and a count based method. Spectral learning led to better results on most of the problems. ER -
APA
Liza, F.F. & Grześ, M.. (2017). A Spectral Method that Worked Well in the SPiCe’16 Competition. Proceedings of The 13th International Conference on Grammatical Inference, in PMLR 57:143-148

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