Zobrazeno 1 - 10
of 71
pro vyhledávání: '"William J. Teahan"'
Autor:
Nadim Ahmed, William J. Teahan
Publikováno v:
IEEE Access, Vol 9, Pp 11316-11327 (2021)
The simple rules that govern the interactions between the different components of a complex system often lead to interesting behaviours that are unexpected. The experiments described in this paper involved creating a variation of a traditional Braite
Externí odkaz:
https://doaj.org/article/6ac0b45fbc5a4077a0b1e1cb2c57baa8
Autor:
Maha M. Alamri, William J. Teahan
Publikováno v:
Computers, Vol 8, Iss 1, p 19 (2019)
This paper proposes an automatic correction system that detects and corrects dyslexic errors in Arabic text. The system uses a language model based on the Prediction by Partial Matching (PPM) text compression scheme that generates possible alternativ
Externí odkaz:
https://doaj.org/article/1e1decff0e0a4724b60d55fa169b131b
Autor:
Nojood O. Aljehane, William J. Teahan
In this paper, we apply grammar-based pre-processing prior to using the Prediction by Partial Matching (PPM) compression algorithm. This achieves significantly better compression for different natural language texts compared to other well-known compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a20c43f8e4b55db009ae87a4fe760ba3
Autor:
Mohammed Altamimi, William J. Teahan
In this paper we present gender and authorship categorisationusing the Prediction by Partial Matching (PPM) compression scheme for text from Twitter written in Arabic. The PPMD variant of the compression scheme with different orders was used to perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::437cfe29d9e43aa3dbe92571aca3e3b1
Publikováno v:
Natural Language Engineering. 26:663-676
The occurrence of code-switching in online communication, when a writer switches among multiple languages, presents a challenge for natural language processing tools, since they are designed for texts written in a single language. To answer the chall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08d1fab470d7b56274c57477fc02f81e
https://doi.org/10.1017/s135132492000011x
https://doi.org/10.1017/s135132492000011x
Autor:
William J. Teahan, Cameron C. Gray, Jeff Kettle, Priyanka Tyagi, Tudur Wyn David, Helder Scapin Anizelli
Publikováno v:
IEEE Journal of Photovoltaics. 9:1768-1773
The application of data analytical approaches to understand long-term stability trends of organic photovoltaics (OPVs) is presented. Nearly 1900 OPV data points have been catalogued, and multivariate analysis has been applied in order to identify pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e9cd8f0dbe4663072e807a755963d10
https://doi.org/10.1109/jphotov.2019.2939070
https://doi.org/10.1109/jphotov.2019.2939070
Autor:
Nadim Ahmed, William J. Teahan
Publikováno v:
Complex & Intelligent Systems. 6:123-146
This paper proposes a novel method for finding interesting behaviour in complex systems based on compression. A new clustering algorithm has been designed and applied specifically for clustering 1D elementary cellular automata behaviour using the pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b3229bffbc93493a0038a32b89e204d
https://doi.org/10.1007/s40747-019-00121-7
https://doi.org/10.1007/s40747-019-00121-7
Publikováno v:
Connection Science. 32:204-221
Recent years have seen significant developments in Artificial Intelligence and we are now beginning to see some applications applied to sexual technologies. This has led to certain individuals and ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad91c6ecec473e9ab42ef00e53176fb5
https://doi.org/10.1080/09540091.2019.1640185
https://doi.org/10.1080/09540091.2019.1640185
Autor:
William J. Teahan
In this paper, we apply grammar-based pre-processing prior to using the Prediction by Partial Matching (PPM) compression algorithm. This achieves significantly better compression for different natural language texts compared to other well-known compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4451cc149e7937816c7f466cf88f9b
Publikováno v:
The Visual Computer. 34:1255-1268
Procedural animation systems are capable of synthesising life-like organic motion automatically. However, due to extensive parameterisation, tuning these systems can be very difficult. Not only are there potentially hundreds of interlinked parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d64a30ceae47efd82316ddea32184b2
https://doi.org/10.1007/s00371-018-1501-2
https://doi.org/10.1007/s00371-018-1501-2