Streaming method RMSE compared to BS-CP1 and BS-CP2.

Streaming method RMSE compared to BS-CP1 and BS-CP2.

<p>Streaming method RMSE compared to BS-CP1 and BS-CP2.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jiaqi Liu (309587) (author)
مؤلفون آخرون:	Qiwu Wu (20370796) (author), Lingzhi Jiang (20370799) (author), Renjun Zhan (20370802) (author), Xiaochuan Zhao (737365) (author), Husheng Wu (20370805) (author), Weicong Tan (13392510) (author)
منشور في:	2024
الموضوعات:	Statistics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified similar trend observed new observation tensor laguerre quadrature method fundamental problem addressed air quality monitoring last two datasets streaming tensor data handle data sparsity cp1 achieve 31 large datasets world scenarios world applications though promising theoretically advantageous recommendation system often sparse numerically stable mainly tackles latent factors fit record first present fast produced evidence proves efficient processing dynamically update computationally challenging comparison methods better results bayesian framework art methods adf ). accurate structure
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مواد مشابهة

The structure diagram of the BS-CP algorithm.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

The total time taken to complete the data set once, when BS-CP1 and BS-CP2 are at different values of R= (3,5,8,10), n = 5.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

The relationship between the number of nodes and the time consuming of the BS-CP2 algorithm is shown here as dataset Beijing-15k, when R = 3,5,8,10.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

CP decomposition Bayes network.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

CP decomposition and Tucker decomposition when the tensor is three mode.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

Online Bayesian Streaming Structure.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

When different node values n (1, 2, 3, 4, 5), the relationship between RMSE and n values of the four above datasets is presented in (a),(b),(c),(d) when <i>R</i> values are different.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

Prediction error results averaged from five runs.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

Information of four datasets.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

Information on published tensor decomposition algorithms.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

Predictive performance with different numbers of factors.
حسب: Jiaqi Liu (309587)
منشور في: (2024)

Description of real-world irregular tensor data in a streaming setting.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Ablation study of OKG-CTF. -R and -M indicate the elimination of relational regularization and no momentum update, respectively. Bold and underlined fonts indicate the lowest and second-lowest errors. Note that both the relational regularization and momentum update contribute to improving the prediction accuracy.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Ablation study of KG-CTF.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Performance for missing value prediction in an online setting.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Performance for missing value prediction.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Description of real-world irregular tensor data.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Symbol description.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Convergence speed of OKG-CTF across different momentum coefficients <i>β</i>, measured by the number of iterations (epochs).
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Convergence speed of KG-CTF across different momentum coefficients <i>β</i>, measured by the number of iterations (epochs).
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Hyperparameter sensitivity of OKG-CTF in terms of Root Mean Squared error on China Stock and Korea Stock datasets.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Hyperparameter sensitivity of KG-CTF in terms of Root Mean Squared error on S&P500 and NASDAQ datasets.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Scalability of OKG-CTF with respect to five update cycles: [20,40,60,80,100].
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Running time of OKG-CTF and competitors for a new tensor on real-world datasets.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Overview of OKG-CTF.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Example of relational regularization for a head stock <i>h.</i>
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Overview of KG-CTF.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

An example of PARAFAC2 decomposition.
حسب: SeungJoo Lee (22608208)
منشور في: (2025)

Toward Using Matrix-free Tensor Decompositions to Systematically Improve Approximate Tensor-Networks
حسب: Karl Pierce (10493031)
منشور في: (2025)

Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA
حسب: Michael Weylandt (6833006)
منشور في: (2025)

Average Estimated Similarities (1 - Normalized Average Distances) between the three source datasets (CD33, CIRCLE, and SITE) and the seven bootstrapped target datasets (CD33_BS, CIRCLE_BS, SITE_BS, Tasi_GUIDE_BS, Listgarten_GUIDE_BS, Kleinstiver_GUIDE_BS, and Hmg_BS) calculated using cosine, Euclidean, and Manhattan distances.
حسب: Jeremy Charlier (16326258)
منشور في: (2025)

Daniel Jaschke - Talk "Quantum computing @ INFN" (2024)
حسب: Daniel Jaschke (17341783)
منشور في: (2024)

CDF plots of (A) normalized standard deviations of FA (σFA) and (B) dyadic coherence (κ) derived from the proposed IST-G tensor registration clustered by image similarity (Louvain, red lines) or chronological age (Age, blue lines) or without clustering (No cluster, black lines).
حسب: Kuaikuai Duan (9542524)
منشور في: (2025)

Deformation generated by standard FA-based, standard tensor-based, and the proposed IST-G tensor registration approaches.
حسب: Kuaikuai Duan (9542524)
منشور في: (2025)

Registration performance of standard FA-based, standard tensor-based, and the proposed IST-G tensor registration approaches.
حسب: Kuaikuai Duan (9542524)
منشور في: (2025)

Flowchart summarizing methodology for (A) standard FA-based registration, (B) standard tensor-based registration and (C) the proposed IST-G tensor registration.
حسب: Kuaikuai Duan (9542524)
منشور في: (2025)

Illustration of (A) standard registration and (B) the proposed IST-G tensor registration framework.
حسب: Kuaikuai Duan (9542524)
منشور في: (2025)

Supplementary material
حسب: Madhumita Rano (15299909)
منشور في: (2025)

A 2D-CFT Factory: Critical Lattice Models from Competing Anyon Condensation in SymTO
حسب: Kaixin Ji (22114327)
منشور في: (2025)

PERCOM analysis on Cohort 1 CP dataset.
حسب: Brian Foo (19273132)
منشور في: (2024)

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