Find link

language:

jump to random article

Find link is a tool written by Edward Betts.

Longer titles found: Scalar–vector–tensor decomposition (view)

searching for Tensor decomposition 18 found (29 total)

alternate case: tensor decomposition

Imputation (statistics) (2,669 words) [view diff] case mismatch in snippet view article

only for small-length missing gaps. SPRINT (Spline-powered Informed Tensor Decomposition) algorithm is proposed in literature which capitalizes the strengths
Higher-order singular value decomposition (4,394 words) [view diff] exact match in snippet view article find links to article
decomposition (HOSVD) is a misnomer. There does not exist a single tensor decomposition that retains all the defining properties of the matrix SVD. The matrix
Newtonian gauge (448 words) [view diff] exact match in snippet view article find links to article
includes only scalar perturbations of the metric: by the scalar-vector-tensor decomposition these evolve independently of the vector and tensor perturbations
Knowledge graph embedding (5,945 words) [view diff] exact match in snippet view article find links to article
main families of models: tensor decomposition models, geometric models, and deep learning models. The tensor decomposition is a family of knowledge graph
Jonathan Marchini (988 words) [view diff] exact match in snippet view article find links to article
imputation, genotype calling from arrays and sequencing, sparse tensor decomposition for RNA-seq datasets, population structure, phenotype prediction
Multidimensional network (6,972 words) [view diff] no match in snippet view article find links to article
In network theory, multidimensional networks, a special type of multilayer network, are networks with multiple kinds of relations. Increasingly sophisticated
Self-dual Palatini action (7,021 words) [view diff] no match in snippet view article find links to article
Ashtekar variables, which were a new canonical formalism of general relativity, raised new hopes for the canonical quantization of general relativity and
Structure formation (2,171 words) [view diff] exact match in snippet view article find links to article
the choice of gauge in general relativity. By the scalar-vector-tensor decomposition, the metric includes four scalar perturbations, two vector perturbations
Feature engineering (2,184 words) [view diff] case mismatch in snippet view article find links to article
(NMF), Non-Negative Matrix-Tri Factorization (NMTF), Non-Negative Tensor Decomposition/Factorization (NTF/NTD), etc. The non-negativity constraints on coefficients
Unsupervised learning (2,770 words) [view diff] exact match in snippet view article find links to article
of the document is changed. It is shown that method of moments (tensor decomposition techniques) consistently recover the parameters of a large class
Kronecker product (6,224 words) [view diff] exact match in snippet view article find links to article
problem and the subject of ongoing research; some authors cast it as a tensor decomposition problem. In conjunction with the least squares method, the Kronecker
Tucker decomposition (1,076 words) [view diff] exact match in snippet view article find links to article
Tensor decomposition
Structure tensor (5,501 words) [view diff] exact match in snippet view article find links to article
\kappa _{20}} is the complex equivalent of the first term in the tensor decomposition, whereas 1 2 ( | κ 20 | − κ 11 ) = λ 2 {\displaystyle {\tfrac {1}{2}}(|\kappa
Principal component analysis (14,851 words) [view diff] case mismatch in snippet view article find links to article
Ashley; Markopoulos, Panos P. (22 November 2019). "L1-norm Tucker Tensor Decomposition". IEEE Access. 7: 178454–178465. arXiv:1904.06455. Bibcode:2019IEEEA
L1-norm principal component analysis (2,336 words) [view diff] case mismatch in snippet view article find links to article
Ashley; Markopoulos, Panos P. (22 November 2019). "L1-norm Tucker Tensor Decomposition". IEEE Access. 7: 178454–178465. arXiv:1904.06455. doi:10.1109/ACCESS
Tensor sketch (4,517 words) [view diff] case mismatch in snippet view article find links to article
Hsiao-Yu; Smola, Alexander; Anandkumar, Anima. Fast and Guaranteed Tensor Decomposition via Sketching. Advances in Neural Information Processing Systems
List of cocaine analogues (5,561 words) [view diff] case mismatch in snippet view article find links to article
Binding of Cocaine Analogues to the Monoamine Transporters Using Tensor Decomposition 3-D QSAR". Bioorganic & Medicinal Chemistry. 10 (5): 1197–1206. doi:10
Yield (Circuit) (4,696 words) [view diff] exact match in snippet view article
estimation (LRTA) constructs a sparse polynomial surrogate using tensor decomposition to model high-dimensional circuit performance. An adaptive sampling