- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Maße
-
30 cm
- Umfang
-
xxiv, 101 Seiten
- Sprache
-
Englisch
- Anmerkungen
-
Illustrationen, Diagramme
Ruprecht-Karls-University Heidelberg, Germany, Dissertation, 2024
- Klassifikation
-
Informatik
- Ereignis
-
Veröffentlichung
- (wo)
-
Heidelberg
- (wann)
-
[2024]
- Urheber
- Beteiligte Personen und Organisationen
- Inhaltsverzeichnis
- Rechteinformation
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Letzte Aktualisierung
-
11.06.2025, 13:51 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
Entstanden
- [2024]
Ähnliche Objekte (12)
Towards Generalizable Deep Learning-Based Human Action Recognition
Deep learning and inverse problems
LectinOracle: A Generalizable Deep Learning Model for Lectin–Glycan Binding Prediction
Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis
Efficient and generalizable tuning strategies for stochastic gradient MCMC
Inverse Designing Surface Curvatures by Deep Learning
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Deep reinforcement learning for inverse inorganic materials design
Author Correction: Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Robust and Efficient Deep Visual Learning
Model-Free Deep Inverse Reinforcement Learning by Logistic Regression
Inverse material design using deep reinforcement learning and homogenization
Towards Generalizable Deep Learning-Based Human Action Recognition
Deep learning and inverse problems
LectinOracle: A Generalizable Deep Learning Model for Lectin–Glycan Binding Prediction
Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis
Efficient and generalizable tuning strategies for stochastic gradient MCMC
Inverse Designing Surface Curvatures by Deep Learning
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Deep reinforcement learning for inverse inorganic materials design
Author Correction: Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Robust and Efficient Deep Visual Learning
Model-Free Deep Inverse Reinforcement Learning by Logistic Regression
Inverse material design using deep reinforcement learning and homogenization
Towards Generalizable Deep Learning-Based Human Action Recognition
Deep learning and inverse problems
LectinOracle: A Generalizable Deep Learning Model for Lectin–Glycan Binding Prediction
Privacy enhancing and generalizable deep learning with synthetic data for mediastinal neoplasm diagnosis
Efficient and generalizable tuning strategies for stochastic gradient MCMC
Inverse Designing Surface Curvatures by Deep Learning
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Deep reinforcement learning for inverse inorganic materials design
Author Correction: Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Robust and Efficient Deep Visual Learning
Model-Free Deep Inverse Reinforcement Learning by Logistic Regression