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The probabilistic tensor decomposition toolbox
Jesper L. Hinrich,
Kristoffer H. Madsen
, Morten Mørup
Funktions- og Billeddiagnostisk Enhed, MR-Forskningssektionen
Funktions- og Billeddiagnostisk Enhed
5
Citationer (Scopus)
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Engineering
Regularization
100%
Sparsity
100%
Maximum Likelihood
100%
Posterior Probability
100%
Gibbs Free Energy
100%
Keyphrases
Tensor Decomposition
100%
Decomposition Method
37%
Hierarchical Model
12%
Model Complexity
12%
Maximum Likelihood
12%
Posterior Probability
12%
Sparsity
12%
Decomposition Model
12%
Negative Factors
12%
Bayesian Inference
12%
Orthogonal Factors
12%
Gibbs Sampling
12%
Automatic Regularization
12%
Heteroscedastic Noise
12%
Automatic Model
12%
Canonical Tensors
12%
MATLAB Toolbox
12%
Model Order Determination
12%
Non-orthogonal
12%
Canonical Polyadic
12%
Variational Bayesian Inference
12%
Reference Implementation
12%
Noise Modeling
12%
Tensor Train Decomposition
12%
Sparse Factor
12%
Non-sparse
12%
Mathematics
Tensor Decomposition
100%
Decomposition Method
37%
Bayesian Inference
25%
Probability Theory
12%
Tensor
12%
Hierarchical Model
12%
Bayesian
12%
Maximum Likelihood
12%
MATLAB
12%
Regularization
12%