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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2890146
Abstract: In this paper, an approximate message passing-based generalized sparse Bayesian learning (AMP-Gr-SBL) algorithm is proposed to reduce the computation complexity of the Gr-SBL algorithm, meanwhile improving the robustness of the GAMP algorithm against the measurement…
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Keywords:
generalized sparse;
sparse bayesian;
sbl algorithm;
algorithm ... See more keywords
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Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2016.2567399
Abstract: Supervised learning over graphs is an intrinsically difficult problem: simultaneous learning of relevant features from the complete subgraph feature set, in which enumerating all subgraph features occurring in given graphs is practically intractable due to…
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Keywords:
subgraph feature;
sparse learning;
generalized sparse;
complete subgraph ... See more keywords