- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Optimal clustering from noisy binary feedback ; volume:113 ; number:5 ; day:22 ; month:3 ; year:2024 ; pages:2733-2764 ; date:5.2024
Machine learning ; 113, Heft 5 (22.3.2024), 2733-2764, 5.2024
- Creator
-
Ariu, Kaito
Ok, Jungseul
Proutiere, Alexandre
Yun, Seyoung
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10994-024-06532-z
- URN
-
urn:nbn:de:101:1-2407132122294.403835654682
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:57 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ariu, Kaito
- Ok, Jungseul
- Proutiere, Alexandre
- Yun, Seyoung
- SpringerLink (Online service)
Other Objects (12)
Feedback-driven data clustering
Feedback-Driven Data Clustering
Hybrid metaheuristic schemes with different configurations and feedback mechanisms for optimal clustering applications
Optimal quantum state tomography with noisy gates
Optimal quantum state tomography with noisy gates
Robust optimal classification trees under noisy labels
Optimal feedback control
Parameter estimation in nonlinear delayed feedback systems from noisy data
Partial clustering in binary two-dimensional colloidal suspensions
Optimal clustering with missing values
Automatic detection of false annotations via binary property clustering
Geometric Clustering and its Applications in Binary Classification Problems
Feedback-driven data clustering
Feedback-Driven Data Clustering
Hybrid metaheuristic schemes with different configurations and feedback mechanisms for optimal clustering applications
Optimal quantum state tomography with noisy gates
Optimal quantum state tomography with noisy gates
Robust optimal classification trees under noisy labels
Optimal feedback control
Parameter estimation in nonlinear delayed feedback systems from noisy data
Partial clustering in binary two-dimensional colloidal suspensions
Optimal clustering with missing values
Automatic detection of false annotations via binary property clustering
Geometric Clustering and its Applications in Binary Classification Problems
Feedback-driven data clustering
Feedback-Driven Data Clustering
Hybrid metaheuristic schemes with different configurations and feedback mechanisms for optimal clustering applications
Optimal quantum state tomography with noisy gates
Optimal quantum state tomography with noisy gates
Robust optimal classification trees under noisy labels
Optimal feedback control
Parameter estimation in nonlinear delayed feedback systems from noisy data
Partial clustering in binary two-dimensional colloidal suspensions
Optimal clustering with missing values
Automatic detection of false annotations via binary property clustering