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- W69371391 abstract "In this paper we introduce a generalized learning algorithm for probabilistic topic models (PTM). Many known and new algorithms for PLSA, LDA, and SWB models can be obtained as its special cases by choosing a subset of the following “options”: regularization, sampling, update frequency, sparsing and robustness. We show that a robust topic model, which distinguishes specific, background and topic terms, doesn’t need Dirichlet regularization and provides controllably sparse solution." @default.
- W69371391 created "2016-06-24" @default.
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- W69371391 date "2013-01-01" @default.
- W69371391 modified "2023-09-24" @default.
- W69371391 title "Robust PLSA Performs Better Than LDA" @default.
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- W69371391 doi "https://doi.org/10.1007/978-3-642-36973-5_84" @default.
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