Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Siegfried Nijssen"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
This article provides a birds-eye view on the role of decision trees in machine learning and data science over roughly four decades. It sketches the evolution of decision tree research over the years, describes the broader context in which the resear
Externí odkaz:
https://doaj.org/article/2f1cc2945251424681eb02f9e52e1397
Publikováno v:
Globalization and Health, Vol 18, Iss 1, Pp 1-17 (2022)
Abstract Background Assessing the impact of government responses to Covid-19 is crucial to contain the pandemic and improve preparedness for future crises. We investigate here the impact of non-pharmaceutical interventions (NPIs) and infection threat
Externí odkaz:
https://doaj.org/article/93c57c9fdca44251bcad126594011469
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333736
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75b9349d10bed7f45724b38e8a092a58
https://doi.org/10.1007/978-3-031-33374-3_8
https://doi.org/10.1007/978-3-031-33374-3_8
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (2022)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (2022)
Decision trees that minimize the error on the training set with a depth limit have been found to be generally superior to those found by more standard greedy algorithms. However, when the search space to be explored is too large, the depth-first sear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03728eea480c91a16f5ca258e5dbc74
https://doi.org/10.1007/978-3-031-26419-1_27
https://doi.org/10.1007/978-3-031-26419-1_27
Publikováno v:
Intelligent Data Analysis. 24:1403-1439
Subgroup Discovery is a supervised, exploratory data mining paradigm that aims to identify subsets of a dataset that show interesting behaviour with respect to some designated target attribute. The way in which such distributional differences are qua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4598b4a628e1f4ba77b8e0f2654c61bd
https://doi.org/10.3233/ida-194719
https://doi.org/10.3233/ida-194719
Publikováno v:
AAAI
Constraint Programming (CP) is a powerful paradigm for solving combinatorial problems. In CP, the user creates a model by declaring variables with their domains and expresses the constraints that need to be satisfied in any solution. The solver is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8addfd9d76f979fa2bf8615c6b0b14ca
https://doi.org/10.1609/aaai.v34i09.7121
https://doi.org/10.1609/aaai.v34i09.7121
Publikováno v:
DIAL
In this document, we explore the complexity of the shortest path problem in a layered directed acyclic graph under consistency constraints. In this context, a consistency constraint imposes that the optimal path select nodes with the same labels in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c4de1cfa5cc166bfae5fcd36f70ef305
https://hdl.handle.net/2078.1/264677
https://hdl.handle.net/2078.1/264677
Publikováno v:
Discovery Science ISBN: 9783031188398
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c4e43ea931b62d481ec16d4930b067d
https://doi.org/10.1007/978-3-031-18840-4_29
https://doi.org/10.1007/978-3-031-18840-4_29
Publikováno v:
Globalization and Health, Vol. 18, no.1, p. 0-17 (2022)
Background Assessing the impact of government responses to Covid-19 is crucial to contain the pandemic and improve preparedness for future crises. We investigate here the impact of non-pharmaceutical interventions (NPIs) and infection threats on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::684e41ee2a2b0d2ac57a2cd5613e8845
https://hdl.handle.net/2078.1/266012
https://hdl.handle.net/2078.1/266012
Autor:
Anna L.D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen
Publikováno v:
Artificial Intelligence
Artificial Intelligence, 304:103650, 103650. ELSEVIER
Artificial Intelligence, 304:103650, 103650. ELSEVIER
We present an extensive study of methods for exactly solving stochastic constraint (optimisation) problems (SCPs) in network analysis. These problems are prevalent in science, governance and industry. The first method we study is generic and decompos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab5ca67d1087c358d2af3b6e54f67352