A re-weighting strategy for improving margins

作者：

摘要

We present a simple general scheme for improving margins that is inspired on well known margin theory principles. The scheme is based on a sample re-weighting strategy. The very basic idea is in fact to add to the training set new replicas of samples which are not classified with a sufficient margin.

论文关键词：Tangent distance,Margins,Re-weighting,Learning Vector Quantization,Nearest Neighbor,Multi-class classification,Invariant pattern recognition,Machine learning

论文评审过程：Received 9 July 2001, Available online 3 February 2002.

论文官网地址：https://doi.org/10.1016/S0004-3702(02)00122-4