A JOINT LEARNING FRAMEWORK FOR ACTIVE FEATURE ACQUISITION AND CLASSIFICATION

摘要

In a method of providing a co-learning framework performed by a computer-aided framework system according to an embodiment, as the RL agent acquires at least one feature for each data point, classification loss for the acquired feature is lost Formulating a framework related to and acquisition costs; Jointly learning the RL agent and the classifier through the framework; And inferring feature acquisition for a new data point as the RL agent and the classifier jointly perform learning.