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Efficient algorithms to implement Probit Tensor Factorization (PTF) model for statistical relational learning, which not only inherits the computation efficiency from the classic tensor factorization model but also accounts for the binary nature of relational data. The methodology is based on Ye Liu (2021) <https://repository.lib.ncsu.edu/bitstream/handle/1840.20/37507/etd.pdf?sequence=1> "Computational Methods for Complex Models with Latent Structure".
Package details |
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Author | Ye Liu |
Maintainer | Ye Liu <yliu87@ncsu.edu> |
License | GPL |
Version | 0.0.1 |
Package repository | View on CRAN |
Installation |
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