Monografie
Some representation learning tasks and the inspection of their models
- Sprache
-
Englisch
- Identifier
-
1275706924
Thema
Neuronales Netz; Mustererkennung; Merkmalsextraktion; Data Mining; Maschinelles Lernen; Künstliche Intelligenz; Deep learning
Beteiligte Personen und Organisationen
Pfahler, Lukas
Morik, Katharina
Hotho, Andreas
Morik, Katharina
Hotho, Andreas
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
02.05.2023, 09:12 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
- Monografie
Beteiligte
- Pfahler, Lukas
- Morik, Katharina
- Hotho, Andreas
Ähnliche Objekte (12)
Multimodal Representation Learning for Diverse Synthesis with Deep Generative Models
Model difference representation
Model difference representation
Representation learning on complex data
Visual Similarity and Representation Learning
Self-supervised Face Representation Learning
Representation learning on relational data
Sample Complexity of Representation Learning for Sparse and Related Data Models
An Automatic Representation Optimization and Model Selection Framework for Machine Learning
Convective initiation - relevant processes and their representation in convection-permitting models
Characterizing model uncertainty in ensemble learning : towards more robust representation and learning of tree ensemble methods
Deep learning for free indirect representation
Multimodal Representation Learning for Diverse Synthesis with Deep Generative Models
Model difference representation
Model difference representation
Representation learning on complex data
Visual Similarity and Representation Learning
Self-supervised Face Representation Learning
Representation learning on relational data
Sample Complexity of Representation Learning for Sparse and Related Data Models
An Automatic Representation Optimization and Model Selection Framework for Machine Learning
Convective initiation - relevant processes and their representation in convection-permitting models
Characterizing model uncertainty in ensemble learning : towards more robust representation and learning of tree ensemble methods
Deep learning for free indirect representation
Multimodal Representation Learning for Diverse Synthesis with Deep Generative Models
Model difference representation
Model difference representation
Representation learning on complex data
Visual Similarity and Representation Learning
Self-supervised Face Representation Learning
Representation learning on relational data
Sample Complexity of Representation Learning for Sparse and Related Data Models
An Automatic Representation Optimization and Model Selection Framework for Machine Learning
Convective initiation - relevant processes and their representation in convection-permitting models
Characterizing model uncertainty in ensemble learning : towards more robust representation and learning of tree ensemble methods