We analyze differences between two information-theoretically motivated approaches to statistical inference and model selection: the Minimum Description Length (MDL) principle, and the Minimum Message Length (MML) principle. Based on this analysis, we present two revised versions of MML: a pointwise estimator which gives the MML-optimal single parameter model, and a volumewise estimator which gives the MML-optimal region in the parameter space. Our empirical results suggest that with small data sets, the MDL approach yields more accurate predictions than the MML estimators. The empirical results also demonstrate that the revised MML estimators introduced here perform better than the original MML estimator suggested by Wallace and Freeman.
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
Laboratorio Integrato di Intelligenza Artificiale e Informatica in Medicina DAIRI（人工智能与医学信息整合实验室DAIRI）；Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo（安东尼和比阿乔和卡雷罗医院）
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding
Ludwig-Maximilians-Universität München（慕尼黑大学）；Siemens AG（西门子股份公司）；University Hospital Erlangen（埃尔朗根大学医院）；Comprehensive Cancer Center Erlangen-EMN（埃尔朗根-欧洲大都市纽伦堡综合癌症中心）；Friedrich-Alexander University Erlangen-Nuremberg（纽伦堡弗里德里希-亚历山大大学）；University Hospital Heidelberg（海德堡大学医院）；University Hospital Düsseldorf（杜塞尔多夫大学医院）；Heinrich-Heine University Düsseldorf（杜塞尔多夫海因里希·海涅大学）；University Hospital Tübingen（图宾根大学医院）
Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms
University of Shanghai for Science and Technology（上海理工大学）；University of Alberta（阿尔伯塔大学）
Combination of digital signal processing and assembled predictive models facilitates the rational design of proteins
Centre for Biotechnology and Bioengineering, Universidad de Chile（智利大学生物技术与生物工程中心）；Division of Chemistry and Chemical Engineering, California Institute of Technology（加州理工学院化学与化学工程系）；Max Planck Institute for Dynamics and Self-Organization（马克斯·普朗克动力学与自组织研究所）；Departamento de Ingeniería Química, Biotecnología y Materiales, Facultad de Ciencias, Física y Matemáticas, Universidad de Chile（智利大学科学、物理与数学学院化学工程、生物技术与材料工程系）；Departamento de Ingeniería En Computación, Universidad de Magallanes（麦哲伦大学计算机工程系）；Escuela de Medicina, Universidad de Magallanes（麦哲伦大学医学院）
