{"id":"W2490965848","doi":"10.1109/icc.2016.7511269","title":"On weighting/reweighting schemes for approximate message passing algorithms","year":2016,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Weighting; Message passing; Block (permutation group theory); Algorithm; Computer science; Cover (algebra); Computational complexity theory; Mathematics; Parallel computing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004543092,0.001471313,0.001101603,0.001029244,0.0006149652,0.001093692,0.001931789,0.00140445,0.002429551],"category_scores_gemma":[0.01557532,0.0005049086,0.0006799261,0.001506849,0.001412852,0.00363937,0.00209478,0.002389046,0.001099245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006650393,"about_ca_system_score_gemma":0.000752251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214754,"about_ca_topic_score_gemma":0.0009890468,"domain_scores_codex":[0.9976262,0.0010518,0.0001625992,0.0002311292,0.0007718653,0.0001564086],"domain_scores_gemma":[0.9941455,0.003252243,0.0003712316,0.001296495,0.0008285149,0.0001060794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003506188,0.0001252261,0.0005907021,0.0002812901,0.00008748851,0.00007594845,0.0002804855,0.4440245,0.01750249,0.1359714,0.002344685,0.3983653],"study_design_scores_gemma":[0.00002742864,0.0001156743,0.00008504678,0.00002503738,0.00001689217,0.00005040624,0.0000140266,0.964984,0.006219329,0.02460896,0.003829393,0.00002385652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002954127,0.000202669,0.9960365,0.00006734757,0.00004039913,0.00003321187,0.000008116516,0.0001345857,0.0005231382],"genre_scores_gemma":[0.1604854,0.0009247864,0.8333897,0.0002122982,0.0002513829,0.0002647885,0.0001222638,0.0001593531,0.00418999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004543092,"threshold_uncertainty_score":0.02402645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865823893621037,"score_gpt":0.240265814832126,"score_spread":0.2216075758959156,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}