TY - BOOK ID - 80747314 TI - Machine learning, optimization, and data science : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, revised selected papers PY - 2020 SN - 3030645800 3030645797 PB - Cham, Switzerland : Springer, DB - UniCat KW - Application software. KW - Machine learning. KW - Education—Data processing. KW - Artificial intelligence. KW - Computers. KW - Computer Applications. KW - Machine Learning. KW - Computers and Education. KW - Artificial Intelligence. KW - Computing Milieux. KW - Automatic computers KW - Automatic data processors KW - Computer hardware KW - Computing machines (Computers) KW - Electronic brains KW - Electronic calculating-machines KW - Electronic computers KW - Hardware, Computer KW - Computer systems KW - Cybernetics KW - Machine theory KW - Calculators KW - Cyberspace KW - AI (Artificial intelligence) KW - Artificial thinking KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Learning, Machine KW - Artificial intelligence KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Big data KW - Mathematical optimization KW - Machine learning KW - Data sets, Large KW - Large data sets KW - Data sets UR - https://www.unicat.be/uniCat?func=search&query=sysid:80747314 AB - This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications. ER -