hangtaiKeyLhortnyofMhkeorCa咖ssandhmoratrceMatrik,Deoat血etofhsamiy 机器学习的类型 Supervised Learning(监督学习) The computer is presented with example inputs and their desired outputs, given by a"teacher",and the goal is to learn a general rule that maps inputs to outputs. Semi-supervised learning:the computer is given only an incomplete training signal:a training set with some(often many)of the target outputs missing. Active learning:the computer can only obtain training labels for a limited set of instances(based on a budget),and also has to optimize its choice of objects to acquire labels for.When used interactively,these can be presented to the user for labeling. Reinforcement learning:training data(in form of rewards and punishments)is given only as feedback to the program's actions in a dynamic environment,such as driving a vehicle or playing a game against an opponent. 振华制 数理统计在化学中的应用 6 造李 振 华 制 造 机器学习的类型  Supervised Learning （监督学习） The computer is presented with example inputs and their desired outputs, given by a "teacher", and the goal is to learn a general rule that maps inputs to outputs.  Semi-supervised learning: the computer is given only an incomplete training signal: a training set with some (often many) of the target outputs missing.  Active learning: the computer can only obtain training labels for a limited set of instances (based on a budget), and also has to optimize its choice of objects to acquire labels for. When used interactively, these can be presented to the user for labeling.  Reinforcement learning: training data (in form of rewards and punishments) is given only as feedback to the program's actions in a dynamic environment, such as driving a vehicle or playing a game against an opponent. 数理统计在化学中的应用 6