Online Learning for Two Novel Latent Topic Models

Conference object English OPEN
Bakhtiari , Ali ,; Bouguila , Nizar;
(2014)
  • Publisher: Springer
  • Related identifiers: doi: 10.1007/978-3-642-55032-4_28
  • Subject: [ INFO ] Computer Science [cs] | [ SHS.INFO ] Humanities and Social Sciences/Library and information sciences | Generalized Dirichlet | Latent model | count data | variational learning | Beta-Liouville | online learning
    acm: ComputingMethodologies_PATTERNRECOGNITION

Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014; International audience; Latent topic models have proven to be an efficient tool for modeling multitopic count data. One of the most well-known models is the latent Dirichlet alloca... View more
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