Efficient Location-Based Tracking for IoT Devices Using Compressive Sensing and Machine Learning Techniques

DOI10.1007/978-3-031-00832-0_12zbMATH Open1527.62053MaRDI QIDQ6487243

Unnamed Author, Qiuting Huang, Unnamed Author, Unnamed Author

Publication date: 7 October 2022

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Artificial neural networks and deep learning (68T07) Applications of mathematical programming (90C90) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Cites Work

• Coordinate descent algorithms for lasso penalized regression
• Reducing the Dimensionality of Data with Neural Networks
• Sparse Approximate Solutions to Linear Systems
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