{"id":"W2076486399","doi":"10.3166/isi.15.1.35-60","title":"Stratégies alternatives pour la recherche des plus proches voisins dans les espaces multidimensionnels","year":2010,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curse of dimensionality; Nearest neighbor search; Dimension (graph theory); Computer science; Probabilistic logic; Similarity (geometry); Mathematics; Theoretical computer science; Data mining; Artificial intelligence; Combinatorics","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":[0.004077902,0.001552595,0.001406328,0.002270538,0.001055548,0.005730271,0.001527849,0.0028358,0.0119305],"category_scores_gemma":[0.01201112,0.0006487757,0.001503675,0.001653783,0.001412198,0.005239249,0.001359592,0.00188141,0.001875177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183761,"about_ca_system_score_gemma":0.002717257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00558608,"about_ca_topic_score_gemma":0.007263379,"domain_scores_codex":[0.9961218,0.001810341,0.0002890874,0.0006199236,0.000987027,0.0001718123],"domain_scores_gemma":[0.9918362,0.005496224,0.0002692693,0.0008352105,0.00134435,0.0002187212],"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":[0.001246667,0.0005358335,0.002833686,0.001535462,0.0004247571,0.0005002927,0.001319732,0.1014445,0.04921699,0.3285639,0.01078581,0.5015925],"study_design_scores_gemma":[0.0005421194,0.0008492189,0.001699879,0.0006821222,0.0004137296,0.0007647939,0.002460572,0.5599284,0.04452707,0.3075303,0.08036929,0.0002324349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03174012,0.008218711,0.9386896,0.004604729,0.0005870968,0.0001722447,0.0001923413,0.0007777483,0.0150174],"genre_scores_gemma":[0.1493977,0.005380953,0.8279732,0.0008165689,0.000360462,0.0002946613,0.0004596721,0.0002089611,0.01510777],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0119305,"threshold_uncertainty_score":0.03991151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241779971826965,"score_gpt":0.3132868043507056,"score_spread":0.1891088071680092,"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."}}