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Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization.

, and . AIST, volume 436 of Communications in Computer and Information Science, page 29-46. Springer, (2014)

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Hierarchical Interpretable Topical Embeddings for Exploratory Search and Real-Time Document Tracking., and . Int. J. Embed. Real Time Commun. Syst., 11 (4): 134-152 (2020)Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks., , and . CoRR, (2017)Improving the Quality of Machine Translation Using the Reverse Model., and . Autom. Remote. Control., 83 (12): 1897-1907 (December 2022)Robust PLSA Performs Better Than LDA., and . ECIR, volume 7814 of Lecture Notes in Computer Science, page 784-787. Springer, (2013)Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods"., , , , , and . Autom. Remote. Control., 83 (10): 1491-1495 (2022)Sharpness Estimation of Combinatorial Generalization Ability Bounds for Threshold Decision Rules., and . Autom. Remote. Control., 82 (5): 863-876 (2021)Optimizing Modality Weights in Topic Models of Transactional Data., and . Autom. Remote. Control., 83 (12): 1908-1922 (December 2022)Regularized Multimodal Hierarchical Topic Model for Document-by-Document Exploratory Search., and . FRUCT, page 131-138. IEEE, (2019)Additive regularization of topic models., and . Mach. Learn., 101 (1-3): 303-323 (2015)Learning Topic Models with Arbitrary Loss., and . FRUCT, page 1-8. IEEE, (2020)