Many classification problems require decisions among a large number of competing classes. These tasks, however, are not handled well by general purpose learning methods and are usually addressed in an ad-hoc fashion. We suggest a general approach -- a sequential learning model that utilizes classifiers to sequentially restrict the number of competing classes while maintaining, with high probability, the presence of the true outcome in the candidates set. Some theoretical and computational properties of the model are discussed and we argue that these are important in NLP-like domains. The advantages of the model are illustrated in an experiment in part-of-speech tagging.
Datum-Wise Classification: A Sequential Approach to Sparsity
Université Pierre et Marie Curie - UPMC（皮埃尔和玛丽·居里大学（巴黎第六大学））；LIP6（巴黎第六大学计算机科学实验室）；LIFL (UMR CNRS)（法国国家科学研究中心里尔基础信息学实验室）；INRIA Lille Nord-Europe（法国国家信息与自动化研究所里尔-北欧分部）；Université de Lille（里尔大学）
Longitudinal Ensemble Integration for sequential classification with multimodal data
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai（遗传学与基因组科学系，伊坎医学院-西奈山医院）；Department of Computer Science and Engineering, University of North Texas（计算机科学与工程系，北德克萨斯大学）；Department of Radiology, Keck School of Medicine, University of Southern California（放射学系，凯克医学院，南加州大学）
Constraint-aware Learning of Probabilistic Sequential Models for Multi-Label Classification
Ukrainian Catholic University Lviv Ukraine；HUN-REN Alfr\' e d R\' e nyi Institute of Mathematics E \"o tv \"o s Lor\' a nd University Budapest Hungary；University of Oxford Oxford UK；Ukrainian Catholic University；HUN-REN Alfr\' e d R\' e nyi Institute of Mathematics；E \"o tv \"o s Lor\' a nd University；University of Oxford
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification
National-Regional Key Technology Engineering Laboratory for Medical Ultrasound（国家级区域医疗超声关键技术工程实验室）；School of Biomedical Engineering（生物医学工程学院）；Medical School（医学院）；Shenzhen University（深圳大学）；Medical UltraSound Image Computing (MUSIC) Lab（医学超声图像计算（MUSIC）实验室）；School of Artificial Intelligence（人工智能学院）；The Hong Kong University of Science and Technology（香港科学与技术大学）；Department of Electronic and Computer Engineering（电子与计算机工程系）；The University of Manchester（曼彻斯特大学）；The Third Affiliated Hospital of Sun Yat-sen University（中山大学第三附属医院）；Longgang District People’s Hospital of Shenzhen（深圳龙岗区人民医院）；The Second Affiliated Hospital of The Chinese University of Hong Kong（香港中文大学第二附属医院）；School of Biomedical Engineering and Informatics（生物医学工程与信息学学院）；NIHR Manchester Biomedical Research Centre（NIHR曼彻斯特生物医学研究中心）
School of Computing, Newcastle University（新卡素大学计算学院）；Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University（医学科学学院转化与临床研究学院，新卡素大学）；National Institute for Health and Care Research (NIHR), Newcastle Biomedical Research Centre (BRC), Newcastle University and The Newcastle upon Tyne Hospitals NHS Foundation Trust（国家健康与护理研究所（NIHR）、新卡素生物医学研究中心（BRC）、新卡素大学及泰恩塞德医院 NHS 基础信托）
