计算机工程与应用2012，Vol.48Issue(11)：102-106,5.DOI:10.3778/j.issn.1002-8331.2012.11.022
特征加权最小最大概率机
Feature weighted minimax probability machine
摘要
Abstract
It constructs a Feature Weighted MPM(FWMPM) based on the Boosting. It estimates the relative importance of each feature by computing the Boosted distance. It is also the weight of each feature. It makes use of the weights for computing the inner product and Euclidean distance in kernel functions. In this way the MPM can allay the influence of trivial relevant feature. The experimental results and analysis show that the FWMPM has the better performance of class than the standard MPM.关键词
最小最大概率机/Boosting/信息增益/特征加权Key words
Minimax Probability Machine (MPM)/ Boosting/ information gain/ feature weighting分类
信息技术与安全科学引用本文复制引用
李剑,尚赵伟,张凌峰..特征加权最小最大概率机[J].计算机工程与应用,2012,48(11):102-106,5.基金项目
国家自然科学基金(No.61003120) （No.61003120）
中央高校基本科研业务费(No.CDJXS10182216) （No.CDJXS10182216）
重庆市自然基金(No.CSTC2010BB2217). （No.CSTC2010BB2217）
