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An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network
Shen Furao; Sakurai, K.; Kamiya, Y.; Hasegawa, O.;
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
12-17 Aug. 2007
Page(s):1139
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1144
Abstract:
An online semi-supervised active learning algorithm is proposed, which is based on self-organizing incremental neural network (SOINN). The proposed method do not need any priori knowledge such as number of nodes or number of classes; it can automatically learn number of nodes and teacher vectors needed by the current task; It can realize online incremental learning even life-long learning. The experiments for artificial data and real world data show that the proposed method works efficiently.
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