Using Bellman optimality principle for the generative autoencoder architecture for the problems of the attribute data typesetting and semantic description in data management (Q6569008)
From MaRDI portal
 | This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Using Bellman optimality principle for the generative autoencoder architecture for the problems of the attribute data typesetting and semantic description in data management |
scientific article; zbMATH DE number 7878167
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Using Bellman optimality principle for the generative autoencoder architecture for the problems of the attribute data typesetting and semantic description in data management |
scientific article; zbMATH DE number 7878167 |
Statements
Using Bellman optimality principle for the generative autoencoder architecture for the problems of the attribute data typesetting and semantic description in data management (English)
0 references
8 July 2024
0 references
AAE
0 references
data profiling
0 references
data types generation
0 references
data typesetting
0 references
deep learning
0 references
discrete Bellman optimality principle
0 references
GAN
0 references
generative neural networks
0 references
LSTM
0 references
master data
0 references
metadata
0 references
neural network architecture
0 references
SCRN
0 references
soft attention
0 references
