Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Hisano, Ryohei"'
Autor:
Matsuoka, Riona, Matsumoto, Hiroki, Yoshida, Takahiro, Watanabe, Tomohiro, Kondo, Ryoma, Hisano, Ryohei
Publikováno v:
Proceedings of Jinmoncon 2024, IPSJ SIG Computers and the Humanities
Written texts reflect an author's perspective, making the thorough analysis of literature a key research method in fields such as the humanities and social sciences. However, conventional text mining techniques like sentiment analysis and topic model
Externí odkaz:
http://arxiv.org/abs/2409.11032
Publikováno v:
Complex Networks & Their Applications XIII: Proceedings of the 13th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2024)
The prediction of both the existence and weight of network links at future time points is essential as complex networks evolve over time. Traditional methods, such as vector autoregression and factor models, have been applied to small, dense networks
Externí odkaz:
http://arxiv.org/abs/2409.08718
Publikováno v:
Complex Networks & Their Applications XIII: Proceedings of the 13th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2024)
Hypergraphs provide a robust framework for modeling complex systems with higher-order interactions. However, analyzing them in dynamic settings presents significant computational challenges. To address this, we introduce a novel method that adapts th
Externí odkaz:
http://arxiv.org/abs/2409.08106
Publikováno v:
In Japan & The World Economy September 2024 71
Block modeling is widely used in studies on complex networks. The cornerstone model is the stochastic block model (SBM), widely used over the past decades. However, the SBM is limited in analyzing complex networks as the model is, in essence, a rando
Externí odkaz:
http://arxiv.org/abs/2009.04446
Topic models are widely used to discover the latent representation of a set of documents. The two canonical models are latent Dirichlet allocation, and Gaussian latent Dirichlet allocation, where the former uses multinomial distributions over words,
Externí odkaz:
http://arxiv.org/abs/2002.10855
Smart sanctions are an increasingly popular tool in foreign policy. Countries and international institutions worldwide issue such lists to sanction targeted entities through financial asset freezing, embargoes, and travel restrictions. The relationsh
Externí odkaz:
http://arxiv.org/abs/1909.00847
Publikováno v:
J Big Data 7, 22 (2020)
Negative screening is one method to avoid interactions with inappropriate entities. For example, financial institutions keep investment exclusion lists of inappropriate firms that have environmental, social, and government (ESG) problems. They create
Externí odkaz:
http://arxiv.org/abs/1811.12166
Autor:
Hisano, Ryohei
Topic models are frequently used in machine learning owing to their high interpretability and modular structure. However, extending a topic model to include a supervisory signal, to incorporate pre-trained word embedding vectors and to include a nonl
Externí odkaz:
http://arxiv.org/abs/1802.08012
Autor:
Yoshida, Takahiro1 (AUTHOR), Hisano, Ryohei2 (AUTHOR) em072010@yahoo.co.jp, Ohnishi, Takaaki3 (AUTHOR)
Publikováno v:
PLoS ONE. 7/12/2023, Vol. 18 Issue 7, p1-18. 18p.