Computer Science ›› 2017, Vol. 44 ›› Issue (3): 264-267.doi: 10.11896/j.issn.1002-137X.2017.03.054

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Multiple-instance Learning Method Based on CRO High Order Neural Networks

DENG Bo, LU Ying-jun and WANG Ru-zhi   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Multi-instance learning (MIL) is a variant of inductive machine learning developed recently,in which each learning example contains a bag of instances instead of a single feature vector.In this paper,we presented a novel MIL method based on the concept of instance label intensity(ILI) called ILI-MIL.Considering the complexity of the object function and the complexity of the gradient descent based training method in neural networks,we used a chemical reaction optimization (CRO) algorithm for training a high-order neural network (HONN) to implement the presented ILI-MIL method,which has more powerful nonlinear fitting capacity and high computation efficiency.The experiment results show that our ILI-MIL method have more effective ability of classification than the state-of-the-art methods.

Key words: MIL,CRO,HONN,Classifier

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