Items where Author, Editor or other role is "Liza, Farhana"

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Number of items: 7.

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Liza, Farhana Ferdousi (2019) Improving Training of Deep Neural Network Sequence Models. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:81637)

Liza, Farhana Ferdousi, Grzes, Marek (2019) Relating RNN layers with the spectral WFA ranks in sequence modelling. In: ACL workshop on Deep Learning and Formal Languages: Building Bridges, 2 August 2019, Florence, Italy. (Unpublished) (KAR id:74240)

Liza, Farhana Ferdousi, Grzes, Marek (2018) Improving Language Modelling with Noise Contrastive Estimation. In: The Thirty-Second AAAI Conference on Artificial Intelligence. . pp. 5277-5284. Association for the Advancement of Artificial Intelligence, Palo Alto, California, USA ISBN 978-1-57735-800-8. (KAR id:65147)

Liza, Farhana Ferdousi and Grzes, Marek (2017) Improving Language Modelling with Noise-contrastive estimation. [Preprint] (doi:10.48550/arXiv.1709.07758) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:98779)

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)

Liza, Farhana Ferdousi, Grzes, Marek (2016) An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods. In: The 54th Annual Meeting of the Association for Computational Linguistics. . pp. 55-61. Association for Computational Linguistics, Stroudsburg, Pennsylvania, USA ISBN 978-1-945626-14-2. (KAR id:57326)

Liza, Farhana Ferdousi, Grzes, Marek (2016) Estimating the Accuracy of Spectral Learning for HMMs. In: Estimating the Accuracy of Spectral Learning for HMMs. Lecture Notes in Computer Science . pp. 46-56. Springer ISBN 978-3-319-44747-6. E-ISBN 978-3-319-44748-3. (doi:10.1007/978-3-319-44748-3_5) (KAR id:57317)

This list was generated on Wed Dec 25 19:33:26 2024 GMT.