谨慎的传奇——透视1950年代张恨水民间故事写作

20世纪50年代张恨水的通俗文学创作在选材方面有了一定变化,主要精力转移到重写家喻户晓的民间传奇故事上。通过对张恨水这些不大受人关注的作品进行条分缕析的解读,可以进一步体察50年代特定的文艺环境对作家心理和创作的影响。     

论高等学校公共关系的开放式战略

大学毕业生社会择业的瓶颈问题,使高等学校公共关系处于比较危机的状态,协调好高等学校人才培养和社会人才市场需求之间的同步一体关系,是高等学校公共关系管理的当务之急。做好公共关系管理工作,首先要认清高等学校公共关系的本质,认清人才综合素质的培养达到社会需求标准的重要性;其次是要紧紧抓住高等学校公共关系的主体方面。由于高等学校三大职能相互关系所决定,人才培养是高等学校公共关系的主体方面。高等学校培养出的人才,要得到人才使用单位的认同与支持,高等学校必须在公共关系的管理上实施开放式战略,充分发挥社会行业专家的桥梁纽带作用,敞开校门办学,与社会需要同步运行,这样,大学毕业生社会择业的瓶颈问题就有希望得到解决。     

No Human Resource is an Island: Gendered,Racialized Access to Work as a Performer

This article explores the reproduction of gendered, racialized conceptions of age and appearance in structuring access to performing work. Analysis of this issue leads to discussion of a key supposition: that central work experiences of women performers are manifestations of their position as formal and informal proxies for women's experiences in wider society. Women performers are formal proxies in that they are employed to ‘be women’; to represent women for consumption in the circuit of culture. They are informal proxies in that they are allocated to highly segmented labour markets based on wider patterns of gendered, racialized social relations.     

Clustering and combinatorial optimization in recursive supervised learning

The use of combinations of weak learners to learn a dataset has been shown to be better than the use of a single strong learner. In fact, the idea is so successful that boosting, an algorithm combining several weak learners for supervised learning, has been considered to be the best off the shelf classifier. However, some problems still exist, including determining the optimal number of weak learners and the over fitting of data. In an earlier work, we developed the RPHP algorithm which solves both these problems by using a combination of global search, weak learning and pattern distribution. In this chapter, we revise the global search component by replacing it with a cluster based combinatorial optimization. Patterns are clustered according to the output space of the problem, i.e., natural clusters are formed based on patterns belonging to each class. A combinatorial optimization problem is therefore created, which is solved using evolutionary algorithms. The evolutionary algorithms identify the “easy” and the “difficult” clusters in the system. The removal of the easy patterns then gives way to the focused learning of the more complicated patterns. The problem therefore becomes recursively simpler. Over fitting is overcome by using a set of validation patterns along with a pattern distributor. An algorithm is also proposed to use the pattern distributor to determine the optimal number of recursions and hence the optimal number of weak learners for the problem. Empirical studies show generally good performance when compared to other state of the art methods.     

语言演化与生物演化

语言的产生如同生物的诞生,经历了由无序到有序、无机至有机的演变;语言的演化和发展也与生物的进化相同,经音变、自然选择、隔离等机制,发展成既有门、纲、目、属,又有生态位,庞大复杂的语言生物网络。语言产生和演化的生物学比较分析进一步证实语言是一个活生生的物体。     

The changing importance of white women's economic prospects for assortative mating

Given recent changes in the labor force participation and economic standing of women, we ask whether a woman's position in the labor market has become a more important determinant of her position in the marriage market. Unlike much prior research on trends over time in assortative mating, we take an individual‐level approach to the analysis and rely on improved measures of labor market position, such as measuring wives' wages before marriage and considering multiple indicators of husbands' longer term economic standing. Our analysis relies on data from the National Longitudinal Survey of Young Women (N = 759) and the National Longitudinal Survey of Youth (N = 767). Our results are consistent with growth over time in the importance of women's earnings potential in determining their marriage prospects.     

基于小样本的安全第一投资组合优化模型

为了解决小样本情况下安全第一投资组合选择问题,将结构风险最小化原则引入投资组合选择过程中。根据结构风险最小化原则的直接实现,构建了含有范数约束的安全第一投资组合优化模型,并研究了模型参数的选取方法。实验结果验证了本模型的有效性。     

“三维”适应选择转换视阈下的外宣翻译--以云南丽江世界遗产解说词的英译文为例

从“三维”即交际维、文化维和语言维适应性选择转换的角度出发,对丽江世界遗产景区的英译文进行举隅解读,探讨外宣翻译的“三维”转换。译者在产生译文时,在交际维上应对原语信息进行适当处理,在文化维上应突出文化内涵,在语言维上应注重语言形式和修辞的转换,以此产生“整合适应选择度”最高的外宣翻译。     

Variable selection in partial linear regression with functional covariate

The problem of variable selection is considered in high-dimensional partial linear regression under some model allowing for possibly functional variable. The procedure studied is that of nonconcave-penalized least squares. It is shown the existence of a √n/s_n-consistent estimator for the vector of p_n linear parameters in the model, even when p_n tends to ∞ as the sample size n increases (s_n denotes the number of influential variables). An oracle property is also obtained for the variable selection method, and the nonparametric rate of convergence is stated for the estimator of the nonlinear functional component of the model. Finally, a simulation study illustrates the finite sample size performance of our procedure.     

Adaptive Warped Kernel Estimators

In this work, we develop a method of adaptive non‐parametric estimation, based on ‘warped’ kernels. The aim is to estimate a real‐valued function s from a sample of random couples (X,Y). We deal with transformed data (Φ(X),Y), with Φ a one‐to‐one function, to build a collection of kernel estimators. The data‐driven bandwidth selection is performed with a method inspired by Goldenshluger and Lepski (Ann. Statist., 39, 2011, 1608). The method permits to handle various problems such as additive and multiplicative regression, conditional density estimation, hazard rate estimation based on randomly right‐censored data, and cumulative distribution function estimation from current‐status data. The interest is threefold. First, the squared‐bias/variance trade‐off is automatically realized. Next, non‐asymptotic risk bounds are derived. Lastly, the estimator is easily computed, thanks to its simple expression: a short simulation study is presented.