{"id":"W1558298672","doi":"10.1007/978-3-540-68825-9_28","title":"Image Transformation: Inductive Transfer between Multiple Tasks Having Multiple Outputs","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Transfer of learning; Computer science; Inductive transfer; Task (project management); Transformation (genetics); Inductive bias; Artificial intelligence; Multi-task learning; Context (archaeology); Scalar (mathematics); Artificial neural network; Domain (mathematical analysis); Image (mathematics); Machine learning; Transfer (computing); Pattern recognition (psychology); Mathematics","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":[0.001287741,0.0009634091,0.0008252725,0.0005854133,0.0003741488,0.0008043549,0.002242072,0.001619603,0.006469742],"category_scores_gemma":[0.002362639,0.0005428011,0.001090299,0.0009062721,0.0007797761,0.002170567,0.002966182,0.002154059,0.003465931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004467082,"about_ca_system_score_gemma":0.0006075537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603398,"about_ca_topic_score_gemma":0.001760362,"domain_scores_codex":[0.9994154,0.0001418296,0.0000227327,0.0002340937,0.0001120532,0.00007388549],"domain_scores_gemma":[0.9992192,0.0003375897,0.0000398479,0.000235194,0.0001221169,0.00004601356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003438917,0.0003799696,0.0005680717,0.0002342241,0.0001676389,0.0002107437,0.0001933242,0.06292448,0.05625576,0.01030551,0.01021223,0.8582042],"study_design_scores_gemma":[0.00004579881,0.0001583981,0.00069054,0.00002598041,0.0000668438,0.0002349764,0.00008873252,0.8986278,0.05551555,0.03901793,0.005497383,0.00003008507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006631381,0.0001418734,0.9877659,0.0001032958,0.00007189761,0.00007737181,0.0000842075,0.003223117,0.001900926],"genre_scores_gemma":[0.3463439,0.0003690555,0.6344084,0.0004025947,0.0001694384,0.0004332373,0.00121317,0.0008693856,0.01579083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006469742,"threshold_uncertainty_score":0.02164352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03240238157992148,"score_gpt":0.2501202152853614,"score_spread":0.21771783370544,"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."}}