简要地回顾了代价敏感学习的理论和现有的代价敏感学习算法。
The authors briefly review the theory of cost-sensitive learning, and the existing cost-sensitive learning algorithms.
利用连续的粒子群优化代价敏感主动学习的控制参数，该参数用于最大化未标注样本的信息度和最小化标注代价。
This optimization mechanism employs the continuous-valued PSO to optimize the control parameter to maximize the value of information of instance and minimize the cost of oracle.
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