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ORCIDFoundations and Trends in Machine Learning, Volume 9
Volume 9, Number 1, 2016
- Madeleine Udell
, Corinne Horn, Reza Zadeh, Stephen P. Boyd:
Generalized Low Rank Models. 1-118
Volume 9, Numbers 2-3, 2016
- Elaine Angelino, Matthew James Johnson, Ryan P. Adams:
Patterns of Scalable Bayesian Inference. 119-247
Volume 9, Numbers 4-5, 2016
- Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. 249-429
Volume 9, Number 6, 2017
- Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. 431-673
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