Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Michail Vlachos"'
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783031111693
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b480fd5ba95f4f2c8ccb3b739a184d55
https://doi.org/10.1007/978-3-031-11170-9_4
https://doi.org/10.1007/978-3-031-11170-9_4
Autor:
Reinhard Heckel, Thomas Parnell, Celestine Dünner, Michail Vlachos, V. G. Vassiliadis, Kubilay Atasu
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 31:1253-1266
We consider the problem of generating interpretable recommendations by identifying overlapping co-clusters of clients and products, based only on positive or implicit feedback. Our approach is applicable on very large datasets because it exhibits alm
Autor:
Michail Vlachos, Johannes Schneider
Publikováno v:
Data Science – Analytics and Applications ISBN: 9783658321819
We discuss training techniques, objectives and metrics toward personalization of deep learning models. In machine learning, personalization addresses the goal of a trained model to target a particular individual by optimizing one or more performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2033b42e770f2106546a155348a715bb
https://doi.org/10.1007/978-3-658-32182-6_14
https://doi.org/10.1007/978-3-658-32182-6_14
Autor:
Johannes Schneider, Michail Vlachos
Publikováno v:
Data Mining and Knowledge Discovery. 31:972-1005
Clustering offers significant insights in data analysis. Density-based algorithms have emerged as flexible and efficient techniques, able to discover high-quality and potentially irregularly shaped clusters. Here, we present scalable density-based cl
Autor:
Michail Vlachos
Publikováno v:
Encyclopedia of Database Systems
Encyclopedia of Database Systems ISBN: 9781489979933
Encyclopedia of Database Systems ISBN: 9781489979933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c119f7996baafcd92daccb8871c7780
https://doi.org/10.1007/978-1-4614-8265-9_615
https://doi.org/10.1007/978-1-4614-8265-9_615
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 9:1-30
The emergence of cloud-based storage services is opening up new avenues in data exchange and data dissemination. This has amplified the interest in right-protection mechanisms to establish ownership in the event of data leakage. Current right-protect
Publikováno v:
ICPP
Recommender systems are becoming the crystal ball of the Internet because they can anticipate what the users may want, even before the users know they want it. However, the machine-learning algorithms typically involved in the training of such system
Publikováno v:
ICDE
We consider the problem of generating interpretable recommendations by identifying overlapping co-clusters of clients and products, based only on positive or implicit feedback. Our approach is applicable on very large datasets because it exhibits alm
Autor:
Eric Martin, Samuel Kaski, Fei Zheng, Geoffrey I. Webb, Xiaojin Zhu, Ion Muslea, Kai Ming Ting, Michail Vlachos, Risto Miikkulainen, Alan Fern, Miles Osborne, Luc De Raedt, Kristian Kersting, Thomas Zeugmann, Xinhua Zhang, Michael Bain, Artur Czumaj, Christian Sohler, Claude Sammut, Petra Kralj Novak, Nada Lavrač, Scott Sanner
ispartof: Encyclopedia of Machine Learning pages:916-924 edition:1 ispartof: pages:916-924 edition:1 edition: 1 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7877d40d899253e45cf810e23311cf40
https://doi.org/10.1007/978-1-4899-7687-1_786
https://doi.org/10.1007/978-1-4899-7687-1_786
Publikováno v:
Encyclopedia of GIS ISBN: 9783319235196
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77e641c6b760e9818aa33909adecdfde
https://doi.org/10.1007/978-3-319-17885-1_1401
https://doi.org/10.1007/978-3-319-17885-1_1401