Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Hodge, V.J."'
Akademický článek
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Autor:
Hodge, V.J., Sephton, N., Devlin, S., Cowling, P.I., Goumagias, N., Shao, Jianhua, Purvis, K., Cabras, I., Fernandes, K.J., Li, F.
Publikováno v:
IEEE transactions on games, 2019, Vol.11(4), pp.374-385 [Peer Reviewed Journal]
In this article, we analyse the game play data of three popular customisable card games where players build decks prior to game play. We analyse the data from a player engagement perspective, how the business model affects players, how players influe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______328::d85274bda8922698de61f7b36a759210
http://dro.dur.ac.uk/24094/2/24094.pdf
http://dro.dur.ac.uk/24094/2/24094.pdf
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Publikováno v:
Neurocomputing. 72:693-703
Images may be matched as whole images or using shape matching. Shape matching requires: identifying edges in the image, finding shapes using the edges and representing the shapes using a suitable metric. A Laplacian edge detector is simple and effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe9c2e253d2fc6898d649d10dd19581f
https://doi.org/10.1016/j.neucom.2008.07.013
https://doi.org/10.1016/j.neucom.2008.07.013
Autor:
Hodge, V.J., Austin, J.
K-Nearest Neighbour (k-NN) is a widely used technique for classifying and clustering data. K-NN is effective but is often criticised for its polynomial run-time growth as k-NN calculates the distance to every other record in the data set for each rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::236436b5af6a035d0e935aed24a70b06
https://eprints.whiterose.ac.uk/766/1/hodgevj3.pdf
https://eprints.whiterose.ac.uk/766/1/hodgevj3.pdf
Autor:
Hodge, V.J., Austin, J.
Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::533bff1cea6e6cb11a616a0c300ba858
https://eprints.whiterose.ac.uk/767/1/hodgevj4.pdf
https://eprints.whiterose.ac.uk/767/1/hodgevj4.pdf
Autor:
Hodge, V.J., Austin, J.
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering
In this paper, we propose a simple, flexible, and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning, and associative matching in the AURA neural system. We integrate Hamming Distance and n-gram algorithms t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::0e20e14fdb3995ec9e56780caf9ca72d
https://eprints.whiterose.ac.uk/689/1/hodgevj2.pdf
https://eprints.whiterose.ac.uk/689/1/hodgevj2.pdf
Autor:
Hodge, V.J., Austin, J.
In this paper, we propose a simple and flexible spell checker using efficient associative matching in the AURA modular neural system. Our approach aims to provide a pre-processor for an information retrieval (IR) system allowing the user's query to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::015269d3a81d3818ee9363fcc097e72c
https://eprints.whiterose.ac.uk/884/1/hodgevj10.pdf
https://eprints.whiterose.ac.uk/884/1/hodgevj10.pdf
Autor:
Hodge, V.J., Austin, J.
In this paper we evaluate a selection of data retrieval algorithms for storage efficiency, retrieval speed and partial matching capabilities using a large Information Retrieval dataset. We evaluate standard data structures, for example inverted file
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::e7a8eb245190797723ed111aea2e76a2
https://eprints.whiterose.ac.uk/883/1/hodgevj9.pdf
https://eprints.whiterose.ac.uk/883/1/hodgevj9.pdf
Autor:
Hodge, V.J., Austin, J.
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering
We propose a hierarchical clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm refines and builds upon the GCS base, overcoming an inconsistency in the original GCS algorithm, where the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::897cda9302090c4b69f7484f60161f13
https://eprints.whiterose.ac.uk/688/1/hodgevj1.pdf
https://eprints.whiterose.ac.uk/688/1/hodgevj1.pdf