CP_01 | transformation of the real-number-CP-decompositions to Binary |
cp_als | Compute a CP decomposition using an alternating least-squares... |
cp_apr | Compute nonnegative CP with alternating Poisson... |
cp_nmu | Compute nonnegative CP with multiplicative updates(NMU) |
CP_R01 | inverse of real-number-CP-decompositions to Binary |
default_parcube_options | parCube initialization parameters |
getTensor | getting tensor from triples |
getTensor3m | getting tensor from triples |
getTnsrijk | tensor frontal slices to indices |
inv_rescal_sf_prd_chnkgrp | Reconstruct predicate(s) via chunks and grouping |
RDFTensor-package | Different Tensor Factorization (Decomposition) Techniques for... |
recon_1prd_topn_par | Reconstruct predicate top scores on very large graphs |
rescal | RESCAL: Tensor Factorization. |
rescal_01 | transformation of the real-number-RESCAL-decompositions to... |
RescalReconstructBack | reconstruct a tensor from RESCAL factorization result |
rescal_SO_Val | calaculate scores Subj,Predicate,Obj |
rescal_Trp_Val | RESCAL scores of triples |
scRescal | Scalable RESCAL Factorization |
serial_parCube | Serial 3-mode ParCube algorithm for memory resident tensors |
spt_mttkrp | Matricized tensor times Khatri-Rao product for ktensor |
tensor2mat | Reduce tensor to matrix |
Tensor_error | RESCAL Tensor error |
tnsr2trp | sparse tensor to triples |
umls_tnsr | RDF tensor of UMLS small graph |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.