Recurrent Pattern Modelling in a Corpus of Armenian Manuscript Colophons

Autor: Emmanuel Van Elverdinghe

Publikováno v: Journal of Data Mining and Digital Humanities, Vol Special Issue on..., Iss Towards a Digital Ecosystem:... (2018)

Colophons of Armenian manuscripts are replete with yet untapped riches. Formulae are not the least among them: these recurrent stereotypical patterns conceal many clues as to the schools and networks of production and diffusion of books in Armenian c

Externí odkaz: https://doaj.org/article/294fc7ce980346d5a6f94af214a33779

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Reinforcement Learning with Option Machines

Autor: den Hengst, Floris, Francois-Lavet, Vincent, Hoogendoorn, Mark, van Harmelen, Frank, De Raedt, Luc

Publikováno v: den Hengst, F, Francois-Lavet, V, Hoogendoorn, M & van Harmelen, F 2022, Reinforcement Learning with Option Machines . in L De Raedt (ed.), Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence . IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, pp. 2909-2915, 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23/07/22 . https://doi.org/10.24963/ijcai.2022/403
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2909-2915
STARTPAGE=2909;ENDPAGE=2915;TITLE=Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Reinforcement learning (RL) is a powerful framework for learning complex behaviors, but lacks adoption in many settings due to sample size requirements. We introduce a framework for increasing sample efficiency of RL algorithms. Our approach focuses

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20ab5b44dc8c9533ca867a559e73d7b1
https://hdl.handle.net/1871.1/61ccaa2a-ed48-426b-b47b-8a7e58aff4bd

Aplicación de transductores de estado-finito a los procesos de unificación de términos Application of transducers of state-finite to unification processes of term variants

Autor: Carmen Galvez

Publikováno v: Ciência da Informação, Vol 35, Iss 3, Pp 67-74 (2006)

Se presenta una aplicación basada en técnicas de estado-finito a los procesos de unificación de términos en español. Los algoritmos de unificación, o conflación, de términos son procedimientos computacionales utilizados en algunos sistemas de

Externí odkaz: https://doaj.org/article/aece0459103d4acf9d373c37b0b9340e

Stochastic Finite-State Models for Spoken Language Machine Translation

Autor: Bangalore, Srinivas, Riccardi, Giuseppe

Publikováno v: Machine Translation, 2002 Jan 01. 17(3), 165-184.

Externí odkaz: https://www.jstor.org/stable/40007493