{"id":"W4300424660","doi":"10.1007/978-3-031-02559-4_6","title":"The Exponentiated Gradient Algorithms","year":2010,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on speech and audio processing","topic":"Advanced Adaptive Filtering Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Least mean squares filter; Algorithm; Mathematics; Convergence (economics); Impulse (physics); Microphone; Computer science; Adaptive filter; Telecommunications","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":[0.0008274462,0.001157978,0.0006902879,0.0008423706,0.0002646483,0.001394776,0.0008129493,0.0008867722,0.006721483],"category_scores_gemma":[0.00294026,0.0005018947,0.0006125111,0.0011082,0.00133201,0.002072905,0.001026334,0.002735927,0.004027404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781618,"about_ca_system_score_gemma":0.0004691021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005860614,"about_ca_topic_score_gemma":0.0005616583,"domain_scores_codex":[0.9995832,0.0001081913,0.00002892178,0.0001020513,0.000151168,0.00002641137],"domain_scores_gemma":[0.9995128,0.000193107,0.00002819999,0.0001172713,0.0001294779,0.00001907741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007179069,0.00003315384,0.0001259912,0.0001504666,0.00003591834,0.00004836366,0.00007027897,0.02174341,0.003025347,0.5336834,0.02516694,0.4158449],"study_design_scores_gemma":[0.00004572906,0.00007958194,0.0004568209,0.0001001905,0.00003684546,0.0002926424,0.00002794628,0.2473705,0.006100867,0.5864549,0.1589739,0.00006010026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002368297,0.008186993,0.9582174,0.0005015995,0.001277351,0.00002268232,0.00008139935,0.0003137394,0.02903053],"genre_scores_gemma":[0.09752198,0.0140059,0.7603194,0.0006593982,0.002405854,0.0001548276,0.0003594867,0.000681421,0.1238918],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006721483,"threshold_uncertainty_score":0.02248567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149287480789832,"score_gpt":0.2171836054384763,"score_spread":0.2056907306305779,"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."}}