Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments

Autor: McKenna, R., Pfenninger, S., Heinrichs, H., Schmidt, J., Staffell, I., Gruber, K., Hahmann, A., Jansen, M., Klingler, M., Landwehr, N., Larsén, X., Lilliestam, J., Pickering, B., Robinius, M., Tröndle, T., Turkovska, O., Wehrle, S., Weinand, J., Wohland, J.

The rapid uptake of renewable energy technologies in recent decades has increased the demand of energyresearchers, policymakers and energy planners for reliable data on the spatial distribution of their costs and potentials. For onshore wind energy t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9748::6310356dc1f30f86a38b94a6b09f0b9e
https://publications.rifs-potsdam.de/pubman/item/item_6000800

Copula PC Algorithm for Causal Discovery from Mixed Data

Autor: Cui, R., Groot, P., Heskes, T., Frasconi, P., Landwehr, N., Manco, G., Vreeken, J.

Publikováno v: Frasconi, P.; Landwehr, N.; Manco, G. (ed.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II, 377-392. Cham : Springer International Publishing
STARTPAGE=377;ENDPAGE=392;ISSN=0302-9743;TITLE=Frasconi, P.; Landwehr, N.; Manco, G. (ed.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II
Frasconi, P.; Landwehr, N.; Manco, G. (ed.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II, pp. 377-392

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Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e026c72b9ddcd738c56d8b1cbf99d85e
https://hdl.handle.net/2066/159553

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kFOIL: Learning simple relational kernels

Autor: Landwehr, N., andrea passerini, Raedt, L., Frasconi, P.

Publikováno v: Scopus-Elsevier

A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FOIL with kernel methods. The feature space is constructed by leveraging

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f72331b08c74f2a0657e5a453b15f4f
https://lirias.kuleuven.be/handle/123456789/207357