计算机与数字工程2016，Vol.44Issue(9)：1635-1640,1649,7.DOI:10.3969/j.issn.1672-9722.2016.09.002
基于观察学习的概率分布预测模型研究
Prediction Model of Probability Distribution Based on Observational Learning
摘要
Abstract
A new prediction model of probability distribution based on observational learning has been proposed in this paper ,which is combined with the concept of loosening control conditions and virtual sample generation .Observational learn‐ing algorithm is expanded to research the probability distribution under small sample in this model ,which is applied to point prediction and classification traditionally .The model extracts the subsets with loosening attribute conditions and creates base learners with cubic spline interpolation function .The virtual samples are used to promote the consistency of base learners e‐ventually .The model provides calculation formula for trust of learner and optimizes the exit mechanism to apply the model better .The results from manual dataset and real world problems from UCI repository shows that the model solves the prob ‐lem of probability distribution prediction under small samples and the optimized observational learning algorithm is better and higher in generalization and precision than before .关键词
观察学习算法/概率分布/小样本问题/虚拟数据生成Key words
observational learning algorithm/probability distribution/small sample size problem/virtual sample gen-eration分类
信息技术与安全科学引用本文复制引用
吕宗磊,陈国明..基于观察学习的概率分布预测模型研究[J].计算机与数字工程,2016,44(9):1635-1640,1649,7.基金项目
中央高校基本科研业务中国民航大学专项基金项目（编号3122013z004）；中国民用航空科技基金项目（编号M HRD20140315）资助。 （）
