Gauge-covariant stochastic neural fields: stability and finite-width effects. [PDF]
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An Efficient Symbol-by-Symbol Aided Expectation Propagation Detector for OTFS With Index Modulation
IEEE Wireless Communications Letters, 2022In this letter, an efficient symbol-by-symbol aided expectation propagation (SS-EP) detector is designed for orthogonal time frequency space (OTFS) with index modulation (IM).
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Expectation Propagation for microarray data classification
Pattern Recognition Letters, 2010Microarray experiments are a very promising tool for early diagnosis and disease treatment. The datasets obtained in these experiments typically consist of a small number of instances and a large number of covariates, most of which are irrelevant for discrimination. These characteristics pose severe difficulties for standard learning algorithms.
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An Expectation Propagation Perspective on Approximate Message Passing
IEEE Signal Processing Letters, 2015An alternative derivation for the well-known approximate message passing (AMP) algorithm proposed by Donoho is presented in this letter. Compared with the original derivation, which exploits central limit theorem and Taylor expansion to simplify belief propagation (BP), our derivation resorts to expectation propagation (EP) and the neglect of high ...
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An Efficient Approximate Expectation Propagation Detector With Block-Diagonal Neumann-Series
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