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of 4
pro vyhledávání: '"van Engelen, J.E."'
Autor:
van Engelen, J.E., van Lier, J.J., Takes, F.W., Trautmann, H., Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M., Hurley, N.
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030109967
ECML/PKDD (3)
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018 : proceedings, 3, 524-540
ECML/PKDD (3)
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018 : proceedings, 3, 524-540
The ubiquity of WiFi access points and the sharp increase in WiFi-enabled devices carried by humans have paved the way for WiFi-based indoor positioning and location analysis. Locating people in indoor environments has numerous applications in roboti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aa2f8be98140b937fb310f0b99941b4
https://dare.uva.nl/personal/pure/en/publications/accurate-wifi-based-indoor-positioning-with-continuous-location-sampling(eaa562fa-d322-467f-a4a7-fa2db6653e97).html
https://dare.uva.nl/personal/pure/en/publications/accurate-wifi-based-indoor-positioning-with-continuous-location-sampling(eaa562fa-d322-467f-a4a7-fa2db6653e97).html
Autor:
van Engelen, J.E., Boekhout, H.D., Takes, F.W., Boström, H., Knobbe, A., Soares, C., Papapetrou, P.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319463483
IDA
Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016 : proceedings, 295-307
STARTPAGE=295;ENDPAGE=307;TITLE=Advances in Intelligent Data Analysis XV
IDA
Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016 : proceedings, 295-307
STARTPAGE=295;ENDPAGE=307;TITLE=Advances in Intelligent Data Analysis XV
Data that involves some sort of relationship or interaction can be represented, modelled and analyzed using the notion of a network. To understand the dynamics of networks, the link prediction problem is concerned with predicting the evolution of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28f5bd55c2803bd2d2018dce35180078
https://doi.org/10.1007/978-3-319-46349-0_26
https://doi.org/10.1007/978-3-319-46349-0_26
Akademický článek
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Kniha
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