*Result*: Bayesian Tensor Decomposition for Signal Processing and Machine Learning
*Title*:
Bayesian Tensor Decomposition for Signal Processing and Machine Learning : Modeling, Tuning-Free Algorithms, and Applications / Lei Cheng
*Author/editor-in-chief*:
*Edition*:
1st ed. 2023.
*Publication*:
Cham : Springer International Publishing AG, 2024
*Physical description scale*:
183 Seiten
*Format*:
*Language*:
*eng*
*Notes*:
Tensor decomposition: Basics, algorithms, and recent advances.- Bayesian learning for sparsity-aware modeling.- Bayesian tensor CPD: Modeling and inference.- Bayesian tensor CPD: Performance and real-world applications.- When stochastic optimization meets VI: Scaling Bayesian CPD to massive data.- Bayesian tensor CPD with nonnegative factors.- Complex-valued CPD, orthogonality constraint and beyond Gaussian noises.- Handling missing value: A case study in direction-of-arrival estimation.- From CPD to other tensor decompositions.
*RVK-Notation*:
*ISBN*:
9783031224409 ; 303122440X