Skip to main content

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

Liza, Farhana Ferdousi, Grzes, Marek (2016) A Spectral Method that Worked Well in the SPiCe'16 Competition. In: Verwer, Sicco and van Zaanen, Menno and Smetsers, Rick, eds. Journal of Machine Learning Research. Volume 57: Proceedings of The 13th International Conference on Grammatical Inference. JMLR: Workshop and Conference Proceedings , 57. pp. 143-148. Journal of Machine Learning Research (KAR id:57327)

PDF Publisher pdf
Language: English
Download (177kB) Preview
[thumbnail of liza16.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL


We present methods used in our submission to the Sequence Prediction ChallengE (SPiCe’16) 1 .

based method. Spectral learning led to better results on most of the problems.

Item Type: Conference or workshop item (Proceeding)
Uncontrolled keywords: Spectral Learning, Rank, Sequence Prediction, Hyperparameters
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Marek Grzes
Date Deposited: 16 Sep 2016 14:26 UTC
Last Modified: 16 Feb 2021 13:37 UTC
Resource URI: (The current URI for this page, for reference purposes)
Grzes, Marek:
  • Depositors only (login required):


Downloads per month over past year