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Xu et al., 2018 - Google Patents

Synthesizing tabular data using generative adversarial networks

Xu et al., 2018

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Document ID
2039213720909701041
Author
Xu L
Veeramachaneni K
Publication year
Publication venue
arXiv preprint arXiv:1811.11264

External Links

Snippet

Generative adversarial networks (GANs) implicitly learn the probability distribution of a dataset and can draw samples from the distribution. This paper presents, Tabular GAN (TGAN), a generative adversarial network which can generate tabular data like medical or …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
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