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Vitányi, P.M.B. (2008) A great mind.In Grünwald, P. Myllymäki, P. Tabus, I. Weinberger, M. Yu, B. (Eds.), Festschrift in honor of Jorma Rissanen on the occasion of his 75th birthday (pp 305-309) (TICSP series). Tampere International Center for Signal Processing (TICSP).Vitányi, P.M.B. (2008) Registers.In Kao, M.-Y. (Eds.), Encyclopedia of algorithms (pp 761-764) (Springer reference). Springer.Entry for encyclopedia/dictionary | https://doi.org/10.1007/978-0-387-30162-4_338 | UvA-DAREVitányi, P.M.B. (2009) Turing machine.Scholarpedia Journal, Vol. 4 (pp 6240)Article | https://doi.org/10.4249/scholarpedia.6240 | UvA-DAREVitányi, P.M.B. (2010) Ray Solomonoff, founding father of algorithmic information theory [Obituary].Algorithms, Vol. 3 (pp 260-264)Article | https://doi.org/10.3390/a3030260 | UvA-DAREVitányi, P.M.B. (2011) Information distance in multiples.IEEE Transactions on Information Theory, Vol. 57 (pp 2451-2456)Article | https://doi.org/10.1109/TIT.2011.2110130 | UvA-DAREVitányi, P.M.B. (2011) Compression-based similarity.In First International Conference on Data Compression, Communication and Processing: CCP 2011 : Palinuro, Cilento Coast, Italy, 21-24 June 2011 : proceedings (pp 111-118). IEEE.Conference contribution | https://doi.org/10.1109/CCP.2011.50 | UvA-DAREVitányi, P.M.B. (2012) Tolstoy's mathematics in 'War and Peace'.Mathematical Intelligencer, Vol. 35 (pp 71-75)Article | https://doi.org/10.1007/s00283-012-9342-8 | UvA-DAREVitányi, P.M.B. (2012) Information Distance: New Developments.ArXiv.Preprint | https://doi.org/10.48550/arXiv.1201.1221 | UvA-DAREVitányi, P.M.B. (2012) Conditional Kolmogorov Complexity and Universal Probability.ArXiv.Working paper | https://arxiv.org/abs/1206.0983v1 | UvA-DAREVitányi, P.M.B. (2013) Turing Machines and Understanding Computational Complexity.In Cooper, S. Barry van Leeuwen, Jan (Eds.), Alan Turing: His Work and ImpactChapter | UvA-DAREVitányi, P.M.B. (2013) Conditional Kolmogorov complexity and universal probability.Theoretical Computer Science, Vol. 501 (pp 93-100)Article | https://doi.org/10.1016/j.tcs.2013.07.009 | UvA-DAREVitányi, P.M.B. (2013) Similarity and denoising.Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 371Article | https://doi.org/10.1098/rsta.2012.0091 | UvA-DAREVitányi, P.M.B. (2014) Exact Expression For Information Distance.ArXiv.Working paper | https://arxiv.org/abs/1410.7328v5 | UvA-DAREVitányi, P.M.B. (2015) On The Average-Case Complexity of Shellsort.ArXiv.Working paper | https://arxiv.org/abs/1501.06461v2 | UvA-DAREVitányi, P.M.B. (2016) Registers.In Kao, M.-Y. (Eds.), Encyclopedia of Algorithms (pp 1808-1812). Springer Reference.Entry for encyclopedia/dictionary | https://doi.org/10.1007/978-1-4939-2864-4_338 | UvA-DAREVitányi, P.M.B. (2017) Exact Expression for Information Distance.IEEE Transactions on Information Theory, Vol. 63 (pp 4725-4728)Article | https://doi.org/10.1109/TIT.2017.2686883 | UvA-DAREVitányi, P.M.B. (2018) On the average-case complexity of Shellsort.Random Structures and Algorithms, Vol. 52 (pp 354-363)Article | https://doi.org/10.1002/rsa.20737 | UvA-DAREVoerman, G., Voorburg, R., Huurdeman, H. (2012) Webarchivering: een pleidooi voor een archiverend netwerk van organisaties.Archievenblad, Vol. 116 (pp 30-33)Article | UvA-DAREVoita, E., Sennrich, R., Titov, I. (2019) When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion.In Korhonen, A. Traum, D. Màrquez, L. (Eds.), The 57th Annual Meeting of the Association for Computational Linguistics: ACL 2019 : proceedings of the conference : July 28-August 2, 2019, Florence, Italy (pp 1198-1212). The Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/P19-1116 | UvA-DAREVoita, E., Sennrich, R., Titov, I. (2019) The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives.In Inui, K. Jiang, J. Ng, V. Wan, X. (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp 4396-4406). The Association for Computational Linguistics.Conference contribution | https://doi.org/10.18653/v1/D19-1448 | UvA-DARE
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