A novel combining classifier method based on Variational Inference

作者：

Highlights：

• We proposed a Variational Inference method for multivariate Gaussian distribution estimation.

• We proposed a novel combining classifier method by employing Variational Inference on base classifiers’ outputs.

• The proposed method is highly competitive to many state-of-the-arts ensemble classifier methods.

摘要

•We proposed a Variational Inference method for multivariate Gaussian distribution estimation.•We proposed a novel combining classifier method by employing Variational Inference on base classifiers’ outputs.•The proposed method is highly competitive to many state-of-the-arts ensemble classifier methods.

论文关键词：Ensemble method,Multi classifier system,Mixture of experts,Classifier fusion,Combining classifier algorithm,Variational Inference,Multivariate Gaussian distribution

论文评审过程：Received 14 January 2015, Revised 16 May 2015, Accepted 25 June 2015, Available online 11 July 2015, Version of Record 28 September 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.06.016