Hochschulschrift
Relational semi-supervised classification using multiple relations
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783844002010
- Maße
-
21 cm, 234 g
- Umfang
-
X, 145 S.
- Sprache
-
Englisch
- Anmerkungen
-
Ill., graph. Darst.
Zugl.: Hildesheim, Univ., Diss., 2010
- Schlagwort
-
Automatische Klassifikation
Teilüberwachtes Lernen
Relationales Datenmodell
Wissensextraktion
Empfehlungssystem
Social Tagging
Zeitreihe
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Shaker
- (wann)
-
2011
- Urheber
-
Preisach, Christine
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 14:10 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.
Objekttyp
- Hochschulschrift
Beteiligte
- Preisach, Christine
- Shaker
Entstanden
- 2011
Ähnliche Objekte (12)
Semi-supervised learning for image classification
Projected estimators for robust semi-supervised classification
Semi-supervised data cleaning
Deep semi-supervised learning for brain tumor classification
Semi-supervised learning helps in sound event classification
Semi-supervised time series classification method for quantum computing
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification
Semi-supervised machine-learning classification of materials synthesis procedures
SEMI-SUPERVISED MARGINAL FISHER ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification
Semi-supervised structured prediction models
Semi-supervised protein subcellular localization
Semi-supervised learning for image classification
Projected estimators for robust semi-supervised classification
Semi-supervised data cleaning
Deep semi-supervised learning for brain tumor classification
Semi-supervised learning helps in sound event classification
Semi-supervised time series classification method for quantum computing
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification
Semi-supervised machine-learning classification of materials synthesis procedures
SEMI-SUPERVISED MARGINAL FISHER ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification
Semi-supervised structured prediction models
Semi-supervised protein subcellular localization
Semi-supervised learning for image classification
Projected estimators for robust semi-supervised classification
Semi-supervised data cleaning
Deep semi-supervised learning for brain tumor classification
Semi-supervised learning helps in sound event classification
Semi-supervised time series classification method for quantum computing
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification
Semi-supervised machine-learning classification of materials synthesis procedures
SEMI-SUPERVISED MARGINAL FISHER ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification
Semi-supervised structured prediction models