For SVM:confidence online evaluation & decision impro-vement
Chunguang Zhou · Jisuanji kexue yu tansuo · 2008
An algorithm of confidence evaluation for SVM is presented. Based on the evaluation,decision risk is specified in the context of multi- classification. Evaluation approach combines the theoretic analysis and empirical analysis. The decision with low confidence is refined by a local classifier that is formulated online. The local classifier works in query’s neighborhood,and the neighborhood is developed according to a local metric. Experiments demonstrate the fine performance of the designed algorithm,and its improvement in clas- sification accuracy over the state of the arts.