Survey on active learning algorithms
Kang Liu, Qian Xu, Ziqiang Wang · Computer Engineering and Applications Journal · 2012
As a method of constructing an effective training set,the goal of active learning algorithm is to find informative sample which can enhance the classification results of the model during the iteration,thereby reducing the size of the training set and improving the efficiency of the model within the limited time and resources.At present,active learning has become a hot issue in the field of pattern recognition,machine learning and data mining.The fundamental ideas,some latest research results and algorithm analysis of active learning are introduced.Some problems for further research are presented and analyzed.