Work

Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization

Year: 2020

Type: article

Source: SN Computer Science

DOI: 10.1007/s42979-020-0071-3

Authors: Naoki Hayashi, Sumio Watanabe

Institutions: NTT (Japan), NTT DATA Group Corporation (Japan), Tokyo Institute of Technology

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Japan Society for the Promotion of Science

Award: Difference between marginal likelihood and generalization error as statistical model evaluation based on algebraic geometry and structure learning theory

OpenAlex ID: W3007366533

FWCI: 0.186

Cites: 31

Cited by: 4

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