教育公平·赛珍珠·赛珍珠国际班

教育公平包括教育权利平等、教育起点公平、教育过程公平和教育结果公平。赛珍珠成立＂欢迎之家＂、＂赛珍珠基金会＂、延请晏阳初谈平民教育和英译《水浒传》为《四海之内皆兄弟》等是追求社会公平正义之举。镇江市二中开办＂赛珍珠国际班＂是赛珍珠精神的延续,是成功体现教育公平正义的大事件。     

社会冷战论:在政治史、社会史研究中理解中国

90年代以来,从市民社会论、社会转型论到社会断裂论,一个立于比较充分的实证研究并能完整阐释中国社会基本结构特征的中国认识还没有形成。如果从政治史、社会史来分析,无论是"不断革命"的传统社会主义时代的阶级斗争,还是"改革开放"以后新时期发生的假冒伪劣活动的社会化,中国社会一直存在着一种冷战性的社会关系。社会冷战论可以作为分析中国社会的新范式,并为新的改革提供方向性的知识参考。     

Posterior Regret Γ-Minimax Estimation and Prediction with Applications on k-Records Data Under Entropy Loss Function

Robust Bayesian analysis is connected with the effect of changing a prior within a class Γ instead of being specified exactly. The multiplicity of prior leads to a collection or a range of Bayes actions. It is interesting not only to investigate the range of estimators but also to recommend the optimal procedures. In this article, we deal with posterior regret Γ-minimax (PRGM) estimation and prediction of an unknown parameter θ and a value of a random variable Y under entropy loss function. Applications for k-records such as estimation and prediction problems are discussed.     

Combining Multi-class SVMs with Linear Ensemble Methods that Estimate the Class Posterior Probabilities

Roughly speaking, there is one main model of pattern recognition support vector machine, with several variants of lower popularity. On the contrary, among the different multi-class support vector machines which can be found in the literature, none is clearly favoured. On the one hand, they exhibit distinct statistical properties. On the other hand, multiple comparative studies between multi-class support vector machines and decomposition methods have highlighted the fact that each model has its advantages and drawbacks. These observations call for the evaluation of combinations of multi-class support vector machines. In this article, we study the combination of multi-class support vector machines with linear ensemble methods. Their sample complexity is low, which should prevent them from overfitting, and the outputs of two of them are estimates of the class posterior probabilities.