- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Permutation-invariant linear classifiers ; day:9 ; month:7 ; year:2024 ; pages:1-27
Machine learning ; (9.7.2024), 1-27
- Urheber
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10994-024-06561-8
- URN
-
urn:nbn:de:101:1-2409262138153.386014271110
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Lausser, Ludwig
- Szekely, Robin
- Kestler, Hans A.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Computing bases for permutation invariant polynomials
Gauged permutation invariant matrix quantum mechanics: path integrals
Gauged permutation invariant matrix quantum mechanics: partition functions
Learning linear classifiers : theory and algorithms
Permutation invariant strong law of large numbers for exchangeable sequences
Cutoff for conjugacy-invariant random walks on the permutation group
Machine unlearning: linear filtration for logit-based classifiers
Permutation invariant encodings for quantum machine learning with point cloud data
DeepTable: a permutation invariant neural network for table orientation classification
Hidden symmetries and large N factorisation for permutation invariant matrix observables
Difference spaces and invariant linear forms
Specific Classifiers.
Computing bases for permutation invariant polynomials
Gauged permutation invariant matrix quantum mechanics: path integrals
Gauged permutation invariant matrix quantum mechanics: partition functions
Learning linear classifiers : theory and algorithms
Permutation invariant strong law of large numbers for exchangeable sequences
Cutoff for conjugacy-invariant random walks on the permutation group
Machine unlearning: linear filtration for logit-based classifiers
Permutation invariant encodings for quantum machine learning with point cloud data
DeepTable: a permutation invariant neural network for table orientation classification
Hidden symmetries and large N factorisation for permutation invariant matrix observables
Difference spaces and invariant linear forms
Specific Classifiers.
Computing bases for permutation invariant polynomials
Gauged permutation invariant matrix quantum mechanics: path integrals
Gauged permutation invariant matrix quantum mechanics: partition functions
Learning linear classifiers : theory and algorithms
Permutation invariant strong law of large numbers for exchangeable sequences
Cutoff for conjugacy-invariant random walks on the permutation group
Machine unlearning: linear filtration for logit-based classifiers
Permutation invariant encodings for quantum machine learning with point cloud data
DeepTable: a permutation invariant neural network for table orientation classification
Hidden symmetries and large N factorisation for permutation invariant matrix observables
Difference spaces and invariant linear forms