{"id":"W2164122462","doi":"10.1162/089976600300015691","title":"Nonlinear Autoassociation Is Not Equivalent to PCA","year":2000,"lang":"en","type":"article","venue":"Neural Computation","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Tel Aviv University; Office of Naval Research; Princeton University","keywords":"Nonlinear system; Principal component analysis; Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Backpropagation; Projection (relational algebra); Mathematics; Interpolation (computer graphics); Computer science; Linear interpolation; Algorithm; Image (mathematics)","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":[0.001020713,0.0004311943,0.0005671565,0.0004034254,0.0004320473,0.001661294,0.0008162262,0.0007022848,0.007457642],"category_scores_gemma":[0.006073065,0.000405949,0.0005090997,0.0006060491,0.002843757,0.003963806,0.001632899,0.001559119,0.003559822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169821,"about_ca_system_score_gemma":0.0005848163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440106,"about_ca_topic_score_gemma":0.001203816,"domain_scores_codex":[0.9990489,0.0001630496,0.00006030182,0.0002910489,0.000339815,0.00009695956],"domain_scores_gemma":[0.9970905,0.0009324555,0.0002832015,0.001089292,0.0004994869,0.000105007],"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":[0.000387844,0.00008908773,0.003440485,0.0004960491,0.0001797315,0.0002897253,0.000533015,0.07960328,0.04555627,0.4381025,0.01434988,0.4169722],"study_design_scores_gemma":[0.00004350582,0.0001951535,0.006603828,0.00008806926,0.00007324317,0.001174676,0.0002888859,0.388578,0.02981596,0.5328865,0.04016272,0.00008946512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07534103,0.0009932612,0.8793022,0.004117108,0.0004022589,0.00005330256,0.0002653004,0.002398148,0.03712739],"genre_scores_gemma":[0.8038206,0.001444311,0.1619528,0.001500305,0.0002566413,0.0001217104,0.000431615,0.0006454972,0.02982659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007457642,"threshold_uncertainty_score":0.0249483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768951998526132,"score_gpt":0.2925187329385902,"score_spread":0.2648292129533289,"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."}}