Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jessa Bekker"'
Autor:
Lola Botman, Jonas Soenen, Konstantinos Theodorakos, Aras Yurtman, Jessa Bekker, Koen Vanthournout, Hendrik Blockeel, Bart De Moor, Jesus Lago
ispartof: IEEE Transactions On Smart Grid vol:14 issue:1 pages:757-768 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78f215273a69b0754c8edd2b825cd2e
https://lirias.kuleuven.be/handle/20.500.12942/698976
https://lirias.kuleuven.be/handle/20.500.12942/698976
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a46a80c33a3e5dfdf3bb94734b61dea1
https://doi.org/10.1109/icassp43922.2022.9746654
https://doi.org/10.1109/icassp43922.2022.9746654
Autor:
Jesse Davis, Jessa Bekker
Learning from positive and unlabeled data or PU learning is the setting where a learner only has access to positive examples and unlabeled data. The assumption is that the unlabeled data can contain both positive and negative examples. This setting h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d6660e973bcc8f74aa3e1ec3d05860
https://lirias.kuleuven.be/handle/123456789/654290
https://lirias.kuleuven.be/handle/123456789/654290
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461461
ECML/PKDD (2)
ECML/PKDD (2)
Most positive and unlabeled data is subject to selection biases. The labeled examples can, for example, be selected from the positive set because they are easier to obtain or more obviously positive. This paper investigates how learning can be enable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2098ecc1234799d8d514b687c9b895d6
http://arxiv.org/abs/1809.03207
http://arxiv.org/abs/1809.03207
Autor:
Jesse Davis, Jessa Bekker
Publikováno v:
Inductive Logic Programming ISBN: 9783319780894
ILP
ILP
Many applications, such as knowledge base completion and patient data, only have access to positive examples but lack negative examples which are required by standard ILP techniques and suffer under the closed-world assumption. The corresponding prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b2cadcacb8e7f52836c7fd529308459
https://lirias.kuleuven.be/handle/123456789/594593
https://lirias.kuleuven.be/handle/123456789/594593
Publikováno v:
Open Universiteit
Managing patients with multimorbidity often results in polypharmacy: the prescription of multiple drugs. However, the long-term effects of specific combinations of drugs and diseases are typically unknown. In particular, drugs prescribed for one cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d895d9b67e50441c289e8d622c822c72