{"id":"W2027009076","doi":"10.1109/radar.2011.5960527","title":"Regularization for capon and APES","year":2011,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Capon; Regularization (linguistics); Estimator; Inverse problem; Spectral density estimation; Parametric statistics; Algorithm; Quadratic equation; Mathematics; Oracle; Applied mathematics; Inverse; Singular value decomposition; Computer science; Mathematical optimization; Artificial intelligence; Mathematical analysis; Statistics; Fourier transform","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":[0.002236003,0.0009440963,0.0006164252,0.0007819019,0.0003800948,0.001138325,0.001006683,0.001460184,0.002688472],"category_scores_gemma":[0.007112783,0.0003739938,0.0005701469,0.0006544942,0.001351311,0.002107777,0.001277517,0.001919086,0.0006564629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004276482,"about_ca_system_score_gemma":0.0004773428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008027706,"about_ca_topic_score_gemma":0.0009110829,"domain_scores_codex":[0.9986009,0.0005201814,0.00005424433,0.0002641935,0.0004932848,0.00006711594],"domain_scores_gemma":[0.9979935,0.001083042,0.0001649052,0.0002717076,0.0004196272,0.00006732158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001654833,0.00007635569,0.0008375414,0.0003884532,0.00008309003,0.0001955526,0.0002291629,0.2448351,0.01605569,0.5119821,0.00786698,0.2172845],"study_design_scores_gemma":[0.000005397476,0.00003211592,0.0002299015,0.00001852653,0.000007951917,0.0001338696,0.00002120319,0.9345685,0.00255478,0.05419975,0.008208213,0.00001990128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00187763,0.0001535127,0.9959918,0.0001216154,0.00004636886,0.00001203793,0.00001857072,0.00005095723,0.001727555],"genre_scores_gemma":[0.2427033,0.001251645,0.7370125,0.0008186176,0.0004039702,0.0002272744,0.0004149221,0.0002437541,0.01692401],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002688472,"threshold_uncertainty_score":0.01182526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038338409288113,"score_gpt":0.1924715593540316,"score_spread":0.1620881752611505,"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."}}