Original Research
Published on 30 Mar 2022
CPD-Structured Multivariate Polynomial Optimization
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.836433
- 2,612 views
- Frontiers in Applied Mathematics and Statistics
- Mathematics of Computation and Data Science
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168 articles
Articles
Original Research
Published on 17 Mar 2022
Block Row Kronecker-Structured Linear Systems With a Low-Rank Tensor Solution
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.832883
- 3,780 views
- 1 citation
Original Research
Published on 17 Mar 2022
Instantaneous Frequency-Embedded Synchrosqueezing Transform for Signal Separation
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.830530
- 3,829 views
- 4 citations
Editorial
Published on 09 Mar 2022
Editorial: Analytics and Mathematics in Adaptive and Smart Learning
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.839669
- 4,083 views
Original Research
Published on 02 Mar 2022
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.818799
- 7,639 views
- 9 citations
Original Research
Published on 25 Feb 2022
Dictionary-Based Low-Rank Approximations and the Mixed Sparse Coding Problem
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.801650
- 5,607 views
Editorial
Published on 22 Feb 2022
Editorial: Multivariate Probabilistic Modelling for Risk and Decision Analysis
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.829729
- 4,379 views
Original Research
Published on 26 Jan 2022
Interpretable Transformed ANOVA Approximation on the Example of the Prevention of Forest Fires
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2022.795250
- 3,686 views
- 4 citations
Original Research
Published on 20 Jan 2022
An Empirical Study of Graph-Based Approaches for Semi-supervised Time Series Classification
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.784855
- 4,943 views
- 2 citations
Original Research
Published on 20 Jan 2022
The Design of Matched Balanced Orthogonal Multiwavelets
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.785803
- 4,595 views
Original Research
Published on 24 Dec 2021
Risk Assessment of Future Antibiotic Resistance—Eliciting and Modelling Probabilistic Dependencies Between Multivariate Uncertainties of Bug-Drug Combinations
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.669391
- 5,100 views
- 2 citations
Original Research
Published on 22 Dec 2021
Kernel Distance Measures for Time Series, Random Fields and Other Structured Data
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.787455
- 5,912 views
- 1 citation
Original Research
Published on 26 Oct 2021
Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.759622
- 10,457 views
- 2 citations
Original Research
Published on 19 Oct 2021
Assessing and Modelling Tail Dependencies Between Service Times in Discrete Event Simulation With Minimum Information Copulas for a Better Understanding of Maximum Time in System Risk
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.641245
- 4,913 views
Original Research
Published on 07 Sep 2021
A Block-Sparse Tensor Train Format for Sample-Efficient High-Dimensional Polynomial Regression
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.702486
- 3,692 views
- 3 citations
Original Research
Published on 06 Sep 2021
Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped With State and Well Output Prediction
in Mathematics of Computation and Data Science
Frontiers in Applied Mathematics and Statistics
doi 10.3389/fams.2021.651178
- 5,104 views
- 20 citations