Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "Bayesian Learning"
Now showing items 1-3 of 3
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Cross-Layer Rate Adaptation in IEEE 802.11ax WLANs using Hybrid Feedback and Bayesian Learning Mechanisms
The rapid growth in wireless data demand has led to the evolution of IEEE 802.11 standards, with 802.11ax (Wi-Fi 6) aiming to improve spectral efficiency, throughput, and user experience in dense environments. A key ... -
New Methods for Learning from Heterogeneous and Strategic Agents
(2018-05-21)1 Introduction In this doctoral thesis, we address several representative problems that arise in the context of learning from multiple heterogeneous agents. These problems are relevant to many modern applications such as ... -
Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems
(2018-08-30)Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization based Sparse Bayesian ...