{"id":"W1579079628","doi":"","title":"Modified value iteration algorithm and Dynamic Element Matching based MDP for Distributed data fusion and sensor management","year":2008,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Target Tracking and Data Fusion in Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Markov decision process; Algorithm; Sensor fusion; Matching (statistics); Mathematical optimization; Markov process; Mathematics; Artificial intelligence","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":[0.002227576,0.0008423056,0.001203929,0.0006671562,0.0003903288,0.0009980905,0.001551977,0.001567185,0.001937097],"category_scores_gemma":[0.0053262,0.0004107978,0.000673748,0.0007286053,0.001060564,0.001394577,0.001125622,0.00168637,0.0002938728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140907,"about_ca_system_score_gemma":0.001480624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030483,"about_ca_topic_score_gemma":0.001329826,"domain_scores_codex":[0.9985494,0.00062314,0.00007669925,0.0002621062,0.0003805844,0.0001081037],"domain_scores_gemma":[0.9976587,0.00164664,0.0001656501,0.000124442,0.0003397855,0.00006468323],"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":[0.00007044375,0.00003856205,0.0002180098,0.00005078806,0.00003130343,0.00004728102,0.0000460366,0.9292513,0.0009402609,0.03066278,0.0004672867,0.03817608],"study_design_scores_gemma":[0.000009605779,0.00002155907,0.00002056629,0.00000282951,0.000002825848,0.0000100279,0.000003079346,0.9932792,0.0003283091,0.00589293,0.0004253826,0.000003652552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002886523,0.00008642059,0.9959974,0.00009261589,0.00002640595,0.00003462843,0.00001105441,0.00005939844,0.0008055393],"genre_scores_gemma":[0.4006217,0.0002584227,0.5951943,0.0001586017,0.00006286036,0.0004414446,0.0001034076,0.00005422365,0.00310509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002227576,"threshold_uncertainty_score":0.01178068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786654698309363,"score_gpt":0.2818911070255283,"score_spread":0.2440245600424347,"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."}}