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Bayesian Adaptive Tucker Decompositions for Tensor Factorization
Tucker tensor decomposition offers a more effective representation for multiway data compared to the widely used PARAFAC model. However, its flexibility brings the challenge of selecting the appropria
DataCite Commons2025-05-22 更新90
Conditional Probability Tensor Decompositions for Multivariate Categorical Response Regression
In many modern regression applications, the response consists of multiple categorical random variables whose probability mass is a function of a common set of predictors. In this article, we propose a
DataCite Commons2026-05-01 更新80
Description of real-world irregular tensor data.
How can we accurately decompose a temporal irregular tensor along while incorporating a related knowledge graph tensor in both offline and online streaming settings? PARAFAC2 decomposition is widely a
Figshare2025-11-12 更新50
Additional file 4: of Predicting clinically promising therapeutic hypotheses using tensor factorization
Results of benchmark experiments. (XLSX 11 kb)
DataCite Commons2020-08-27 更新80
Additional file 11 of "WormTensor: a clustering method for time-series whole-brain activity data of C. elegans"
P-values of Hypergeometric test and q-value of FDR of all the clustering methods with the optimal numbers of clusters
Figshare2022-12-15 更新50
