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An expectation propagation (EP) algorithm is proposed for approximate inference in linear regression models with spike-and-slab priors. This EP method is applied to regression tasks in which the number of training instances is small and the number of dimensions of the feature space is large. The problems analyzed include the reconstruction of genetic networks, the recovery of sparse signals, the prediction...
For multi-source relay-based cooperative communications, it is widely believed that Complex Field Network Coding (CFNC) achieves better throughput performance than Physical-layer Network Coding (PNC). However, traditional CFNC schemes suffer a considerable loss on the performance of symbol to error ratio (SER) and peak-to-average power ratio (PAPR) as the number of source nodes increases. In this...
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