A database for publications published by researchers and students at SimulaMet.
Status
Research area
Journal articles
Energy-efficient online control of a water distribution network based on Deep Reinforcement Learning
IEEE Internet of Things Journal (2023).Status: Submitted
Energy-efficient online control of a water distribution network based on Deep Reinforcement Learning
Afilliation | Machine Learning |
Project(s) | Signal and Information Processing for Intelligent Systems |
Publication Type | Journal Article |
Year of Publication | 2023 |
Journal | IEEE Internet of Things Journal |
Publisher | IEEE Internet of Things Journal |
Notes | This work is a joint collaboration between SimulaMet and University of Agder. This work was supported by the IKTPLUSS INDURB grant 270730/O70 from the Research Council of Norway. |
An Online Multiple Kernel Parallelizable Learning Scheme
IEEE Signal Processing Letters (2023).Status: Submitted
An Online Multiple Kernel Parallelizable Learning Scheme
The performance of reproducing kernel Hilbert space-based methods is known to be sensitive to the choice of the reproducing kernel. Choosing an adequate reproducing kernel can be challenging and computationally demanding, especially in data-rich tasks without prior information about the solution domain. In this paper, we propose a learning scheme that scalably combines several single kernel-based online methods to reduce the kernel-selection bias. The proposed learning scheme applies to any task formulated as a regularized empirical risk minimization convex problem. More specifically, our learning scheme is based on a multi-kernel learning formulation that can be applied to widen any single-kernel solution space, thus increasing the possibility of finding higher-performance solutions. In addition, it is parallelizable, allowing for the distribution of the computational load across different computing units. We show experimentally that the proposed learning scheme outperforms the combined single-kernel online methods separately in terms of the cumulative regularized least squares cost metric.
Afilliation | Machine Learning |
Project(s) | Signal and Information Processing for Intelligent Systems |
Publication Type | Journal Article |
Year of Publication | 2023 |
Journal | IEEE Signal Processing Letters |
Publisher | IEEE Signal Processing Letters |
URL | https://arxiv.org/pdf/2308.10101.pdf |
Characterizing human postprandial metabolic response using multiway data analysis
bioRxiv (2023).Status: Submitted
Characterizing human postprandial metabolic response using multiway data analysis
Afilliation | Machine Learning |
Project(s) | Department of Data Science and Knowledge Discovery , TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
Publication Type | Journal Article |
Year of Publication | 2023 |
Journal | bioRxiv |
Publisher | biorxiv |
DOI | 10.1101/2023.08.31.555521 |
Analyzing postprandial metabolomics data using multiway models: A simulation study
bioRxiv (2023).Status: Submitted
Analyzing postprandial metabolomics data using multiway models: A simulation study
Afilliation | Machine Learning |
Project(s) | Department of Data Science and Knowledge Discovery , TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
Publication Type | Journal Article |
Year of Publication | 2023 |
Journal | bioRxiv |
Publisher | bioRxiv |
URL | https://www.biorxiv.org/content/10.1101/2022.12.19.521154v2 |
DOI | 10.1101/2022.12.19.521154 |
Efficient Interpretable Nonlinear Modeling for Multiple Time Series
IEEE Transactions on Signal Processing (2023).Status: Submitted
Efficient Interpretable Nonlinear Modeling for Multiple Time Series
Afilliation | Machine Learning |
Project(s) | Signal and Information Processing for Intelligent Systems |
Publication Type | Journal Article |
Year of Publication | 2023 |
Journal | IEEE Transactions on Signal Processing |
Publisher | IEEE Transactions on Signal Processing |