Zobrazeno 1 - 10
of 1 731
pro vyhledávání: '"latent variable models"'
Autor:
Wright Daniel B.
Publikováno v:
Open Education Studies, Vol 6, Iss 1, Pp 468-491 (2024)
Pearson’s correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman’s ρ\rho is a popular alternative. These
Externí odkaz:
https://doaj.org/article/b28be5815bd54f30ba40ce62e28b93f5
Publikováno v:
Mathematical and Computational Applications, Vol 29, Iss 4, p 65 (2024)
The Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) framework enhances dimensionality reduction methods for linear latent variable models (LVMs). This paper extends LS-PIE by introducing an optimal latent discovery strategy to autom
Externí odkaz:
https://doaj.org/article/2874a8604ac64bb8ae02bdd3164240e2
Autor:
Rosa Fabbricatore, Lucio Palazzo
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
IntroductionModern FinTech tools (e.g., instant payments, blockchain, roboadvisor) represent the new frontier of digital finance. Consequently, the evaluation of the knowledge level of the population about these topics is a crucial concern. In this c
Externí odkaz:
https://doaj.org/article/d78682388ba84163b463775d458e29f6
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation
Autor:
Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
Publikováno v:
AI Open, Vol 4, Iss , Pp 19-32 (2023)
This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence
Externí odkaz:
https://doaj.org/article/7405011d2af64562ae5861bfc0674a5f
Autor:
Hadiseh Safdari, Caterina De Bacco
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-20 (2022)
Abstract Anomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of interactions deviates from patterns considered regular. Properly
Externí odkaz:
https://doaj.org/article/c3988639c6ab4b2fbbed0f219abb36b1
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Akademický článek
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Autor:
Yicong Huang, Zhu Liang Yu
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2886-2895 (2022)
Recently, there has been a focus on drawing progress on representation learning to obtain more identifiable and interpretable latent representations for spike trains, which helps analyze neural population activity and understand neural mechanisms. Mo
Externí odkaz:
https://doaj.org/article/af2112b8812d4fffafc82d792f58164d
Publikováno v:
IATSS Research, Vol 45, Iss 3, Pp 336-346 (2021)
Passenger Vehicle Type Choice (PVTC) has an undeniable impact on crash severity and costs. To estimate that, one must carefully consider subjective factors as well as objective ones. Ignoring the role of subjective variables can cause bias in the est
Externí odkaz:
https://doaj.org/article/cc7470b84dac4600afffd33d048465fb
Akademický článek
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