{"id":"W2369701623","doi":"","title":"A Improved LMS Type Algorithm Based on MVSSLMS","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Least mean squares filter; Algorithm; Convergence (economics); Autocorrelation; Rate of convergence; Variable (mathematics); Adaptive filter; Mathematics; Statistics; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000560757,0.0006145135,0.0008545426,0.0005882039,0.0003112826,0.0006640282,0.001120909,0.001019681,0.004488086],"category_scores_gemma":[0.001941151,0.0003025393,0.0005809264,0.0008467251,0.0003069982,0.001143457,0.0005644982,0.001070472,0.002971616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590468,"about_ca_system_score_gemma":0.0006921623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975951,"about_ca_topic_score_gemma":0.002392212,"domain_scores_codex":[0.9991305,0.0001523498,0.00007251622,0.0001905562,0.0004140695,0.00004000459],"domain_scores_gemma":[0.9994043,0.0001333563,0.00003655823,0.0000638697,0.0003423165,0.00001963871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001936488,0.00005373469,0.0007601304,0.0003029724,0.0001016652,0.0001138405,0.0000964911,0.08792876,0.05269676,0.01557841,0.01079321,0.8313804],"study_design_scores_gemma":[0.00008734658,0.0002161826,0.0009415904,0.00004726266,0.00006363908,0.0004053841,0.00002462854,0.9168776,0.02253202,0.004016615,0.05471834,0.00006941213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002384729,0.000499168,0.9929364,0.0001438982,0.0002873935,0.00003627965,0.00004797992,0.001049738,0.002614379],"genre_scores_gemma":[0.1009498,0.001034185,0.8800659,0.0002953768,0.0005760764,0.000216261,0.0004148536,0.0002084176,0.01623928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004488086,"threshold_uncertainty_score":0.01501411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004606488174764127,"score_gpt":0.218266028791722,"score_spread":0.2136595406169579,"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."}}