What are some important milestones in the development of machine learning?

Committee-based sampling for training probabilistic classifiers. In Proceedings of the 12th International Conference on Machine Learning, pages 150–157,. 1995. ... machine learning and its ethical use in healthcare. Registration is currently open for HIMSS25 Europe, where data science professionals, c-suite leaders ... Mar 31, 2021 ... In this context, training data are the data used to develop and calibrate an AI approach; for example, a financial institution might use a large ... Jul 6, 2023 ... Reinforcement learning (RL) is indispensable for building intelligent decision-making agents. However, current RL algorithms suffer from ... Oct 21, 2024 ... Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Hoshang Kolivand, and Dhiya Al-Jumeily. 2024. An explainable machine learning approach for ... Modeling Reactions from Chemical Theories to Machine Learning. This Virtual Special Issue will spotlight remarkable advancements in theoretical and ... Silva, Felipe Tobar, Mario Vicuña, Felipe Cordova; 25(291):1−71, 2024. Abstract. Information-theoretic measures have been widely adopted for machine learning ( ... Mar 2, 2021 ... ... information. Keywords: Market efficiency; Information acquisition; Machine learning; Informed trading; Algorithmic trading. undefined. JEL ... Final project involves some programming. S. Chen No textbook information available. 6.7320[J] Parallel Computing and Scientific Machine Learning ______. Not ... Mar 27, 2025 ... Admissible ML introduces two methodological tools: Infogram, an “information diagram”, is a new graphical feature-exploration method that ...