{"id":"W2289330286","doi":"","title":"A Spike and Slab Restricted Boltzmann Machine","year":2011,"lang":"en","type":"article","venue":"International Conference on Artificial Intelligence and Statistics","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Boltzmann machine; Spike (software development); Slab; Restricted Boltzmann machine; Computer science; Block (permutation group theory); Boltzmann equation; Boltzmann constant; Lattice Boltzmann methods; Support vector machine; Artificial intelligence; Pattern recognition (psychology); Algorithm; Mathematics; Physics; Artificial neural network; Geometry; Mechanics; Thermodynamics","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":[0.0007950015,0.0005369482,0.0009555648,0.0003201893,0.0003585758,0.001043069,0.00211206,0.001581131,0.005318876],"category_scores_gemma":[0.00281223,0.0003737094,0.0007524667,0.0006202946,0.00104826,0.001859261,0.001803049,0.002109333,0.001547873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006254981,"about_ca_system_score_gemma":0.001110198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001754445,"about_ca_topic_score_gemma":0.002063407,"domain_scores_codex":[0.9994697,0.0001671329,0.00002107094,0.0001006266,0.0001582725,0.00008320005],"domain_scores_gemma":[0.9994204,0.0002439125,0.00003465911,0.0001082332,0.0001215283,0.00007123949],"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":[0.0002457622,0.00007675912,0.0009250104,0.0001362278,0.00009177966,0.0001747215,0.0001171582,0.550682,0.009014343,0.3191527,0.01066675,0.1087168],"study_design_scores_gemma":[0.00001210262,0.00002564158,0.0000776973,0.000006814095,0.000006603628,0.00005416661,0.000007111316,0.9234629,0.000996371,0.07250821,0.002830577,0.00001179505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009905297,0.00040791,0.9826781,0.0007100162,0.000158434,0.00003250532,0.0002267064,0.0007800309,0.005101047],"genre_scores_gemma":[0.5234786,0.0009874165,0.4492948,0.0009583488,0.0002634989,0.0002447233,0.0008239012,0.0003670076,0.02358169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005318876,"threshold_uncertainty_score":0.01779342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126799832973073,"score_gpt":0.3056727456217436,"score_spread":0.1788729126486707,"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."}}