{"id":"W2893983273","doi":"10.3233/jifs-18343","title":"Topographic representation adds robustness to supervised learning","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Artificial intelligence; Robustness (evolution); Representation (politics); Deep learning; Machine learning; Internal model; Artificial neural network; Variety (cybernetics); Supervised learning","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":[0.001176819,0.0005477087,0.0006919865,0.0005667417,0.0004407981,0.001046424,0.001120824,0.001051232,0.001854192],"category_scores_gemma":[0.008627571,0.0004605646,0.0007994251,0.0003854467,0.00158664,0.002197908,0.001825643,0.001367362,0.0004594563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005354523,"about_ca_system_score_gemma":0.0006006414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001879223,"about_ca_topic_score_gemma":0.001381984,"domain_scores_codex":[0.9993933,0.000174801,0.00003313208,0.0001746578,0.0001745503,0.00004948629],"domain_scores_gemma":[0.9963803,0.001698645,0.0003996074,0.001043967,0.0003707092,0.0001068742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009427546,0.00004577195,0.002397074,0.0002058887,0.0001205015,0.0002301944,0.0002157396,0.7940109,0.01034583,0.1140395,0.001974343,0.07631999],"study_design_scores_gemma":[0.000009446346,0.00006033643,0.0005991741,0.00001282564,0.00001766039,0.0001001761,0.00002230395,0.9033669,0.001748825,0.09215516,0.001891967,0.00001514468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05927365,0.0006431931,0.9306487,0.001036858,0.00009519663,0.00004468087,0.0001324324,0.0009710883,0.007154149],"genre_scores_gemma":[0.9274334,0.0005629221,0.06859137,0.0002191982,0.0001385841,0.00006669649,0.0001500056,0.0001547658,0.002683094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001879223,"threshold_uncertainty_score":0.006223679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03481996312498515,"score_gpt":0.2946161392813039,"score_spread":0.2597961761563187,"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."}}