{"id":"W4242128187","doi":"10.1007/s00453-010-9392-2","title":"An Almost Space-Optimal Streaming Algorithm for Coresets in Fixed Dimensions","year":2010,"lang":"en","type":"article","venue":"Algorithmica","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Dimension (graph theory); Streaming algorithm; Combinatorics; Algorithm; Computational geometry; Space (punctuation); Theory of computation; Logarithm; Discrete mathematics; Computer science; Mathematical analysis; Upper and lower bounds","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003107652,0.000149381,0.000152724,0.000222303,0.0001872154,0.0001349912,0.0004658318,0.00009583831,0.00001619179],"category_scores_gemma":[0.00007937053,0.0001528321,0.00005536716,0.0004815213,0.00003573101,0.0005469529,0.0001027587,0.0002115667,0.00001833377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002525061,"about_ca_system_score_gemma":0.0001175487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004644939,"about_ca_topic_score_gemma":0.0000606811,"domain_scores_codex":[0.9987149,0.0000399485,0.0002285177,0.000464775,0.0002237224,0.000328151],"domain_scores_gemma":[0.998943,0.0002287425,0.00006794227,0.0004155629,0.0001945904,0.0001501023],"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":[0.000005945744,0.0002562172,0.00008388483,0.000004066693,0.00001276926,0.00002565086,0.0003666164,0.003315184,0.02402242,0.01165268,0.0008555161,0.959399],"study_design_scores_gemma":[0.0005511513,0.0001556021,0.002108115,0.000006290546,0.000004354564,0.00003661235,0.00002957154,0.9785196,0.01273757,0.00118517,0.004456803,0.0002092013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1330909,0.0000178922,0.8650266,0.0005752896,0.0008148156,0.0002830178,0.00002629435,0.00009525839,0.00006997873],"genre_scores_gemma":[0.290255,0.000002167093,0.7090546,0.000145969,0.0002691225,0.0000484165,0.00008471113,0.0000109401,0.0001290082],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9752043,"threshold_uncertainty_score":0.6232312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104108055769778,"score_gpt":0.2732733300919798,"score_spread":0.262862524515002,"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."}}