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2020 – today
- 2020
[j3]Gábor Horváth, Edith Kovács, Roland Molontay
, Szabolcs Nováczki:
Copula-Based Anomaly Scoring and Localization for Large-Scale, High-Dimensional Continuous Data. ACM Trans. Intell. Syst. Technol. 11(3): 26:1-26:26 (2020)
2010 – 2019
- 2019
- [i4]Gábor Horváth, Edith Kovács, Roland Molontay, Szabolcs Nováczki:
Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data. CoRR abs/1912.02166 (2019) - 2017
- [j2]Edith Kovács, Tamás Szántai:
On the connection between cherry-tree copulas and truncated R-vine copulas. Kybernetika 53(3): 437-460 (2017) - 2013
- [c1]Tamás Szántai, Edith Kovács:
Cluster analysis by exploiting conditional independences. SACI 2013: 299-302 - [i3]Edith Kovács, Tamás Szántai:
Discovering the Markov network structure. CoRR abs/1307.0643 (2013) - 2012
- [j1]Tamás Szántai, Edith Kovács:
Hypergraphs as a mean of discovering the dependence structure of a discrete multivariate probability distribution. Ann. Oper. Res. 193(1): 71-90 (2012) - 2011
- [i2]Tamás Szántai, Edith Kovács:
Discovering a junction tree behind a Markov network by a greedy algorithm. CoRR abs/1104.2762 (2011) - [i1]Edith Kovács, Tamás Szántai:
Vine copulas as a mean for the construction of high dimensional probability distribution associated to a Markov Network. CoRR abs/1105.1697 (2011)
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