黑格尔哲学的一般方法

我们在黑格尔这里,看到了一种完全不同于其他方法的哲学方法。这是因为黑格尔使用了一种完全不同于其他逻辑的逻辑。这种逻辑,黑格尔称之为辩证逻辑。这种逻辑的方法,使得理念活动的全部内容按照辩证的关系展示出来。同时,它也反映出绝对主体外化出现象世界的一般规律。     

法益论视角下个人信息侵权法保护之类型化

个人信息的法律属性界定为个人信息侵权法保护的逻辑起点。将个人信息绝对权化，违反《民法总则》第111条规范目的，不符合“权益区分三标准”，阻碍信息的自由流通，并背离比较法上的主流趋势，应予否定。个人信息的本质是一个法益综合体，法益的保护宜采用德国式的类型化路径，有“违反保护性规定的侵权任”和“故意背俗致损的侵权责任”两种，前者在个人信息保护上具有更大优势，应作为主要保护路径。以行为作为主要基准将有关个人信息的保护性规定类型化，具体分析每一类型确立的行为标准以及违反时的侵权判定、责任承担、抗辩事由等，能够构建完善的个人信息侵权法保护体系。     

马克思的绝对地租理论及其启示

马克思的绝对地租理论认为,土地所有权是绝对地租产生的原因,农业资本有机构成低于社会平均资本有机构成,从而农产品价值高于生产价格的超额利润,是绝对地租产生的条件,而绝对地租的本质仍然是剩余价值的一部分。在我国,尽管社会主义制度的确立,已经消灭了土地的私有权,但并没有也不可能取消土地的所有权,加之我国长期以来,农业资本有机构成低于社会平均资本有机构成,因此,社会主义市场经济条件下存在绝对地租已成为不可否定的客观事实。为此,有必要对构建农村土地的所有权和使用权市场,并对农村土地市场进行有偿征用、出让、租赁、发包等运作形式进行探讨。     

基于光电传感器的目标轮廓提取及其识别

针对物体外形轮廓特征,给出一种基于主动式光电传感器的轮廓特征提取方法,该方法是通过物体经过传感器组视场时各传感器输出状态来获取特征信息;并结合稀疏表示理论,提出一种基于稀疏表示的目标轮廓识别算法,该算法是将测试样本投影到稀疏域,依据系数的稀疏性对测试样本进行分类。数值仿真与实验结果表明：采用光电传感器组获取的信息能够有效地描述物体;且通过本文算法对不同类型物体进行分类,具有良好的识别效果;对不同条件下获得的特征样本进行分类时,具有良好的鲁棒性。     

关于牛顿力学完备性几个问题的诠释

结合对牛顿力学中常见几个疑问的诠释 ,分析了牛顿力学逻辑体系的内在关系。     

A Weighted Least Squares Approach to Levene's Test of Homogeneity of Variance

In 1960 Levene suggested a potentially robust test of homogeneity of variance based on an ordinary least squares analysis of variance of the absolute values of mean-based residuals. Levene's test has since been shown to have inflated levels of significance when based on the F-distribution, and tests a hypothesis other than homogeneity of variance when treatments are unequally replicated, but the incorrect formulation is now standard output in several statistical packages. This paper develops a weighted least squares analysis of variance of the absolute values of both mean-based and median-based residuals. It shows how to adjust the residuals so that tests using the F -statistic focus on homogeneity of variance for both balanced and unbalanced designs. It shows how to modify the F -statistics currently produced by statistical packages so that the distribution of the resultant test statistic is closer to an F-distribution than is currently the case. The weighted least squares approach also produces component mean squares that are unbiased irrespective of which variable is used in Levene's test. To complete this aspect of the investigation the paper derives exact second-order moments of the component sums of squares used in the calculation of the mean-based test statistic. It shows that, for large samples, both ordinary and weighted least squares test statistics are equivalent; however they are over-dispersed compared to an F variable.     

论庄周与萨特的存在哲学

庄周与萨特，对人的存在意识与存在方式都曾进行了痛苦而深刻的思考：关于个体孤独、绝对自由、悲观而乐观等命题，都曾是二者为命途多舛的人类生命所作的无奈而悲凉的存在选择，让我们看到东西方哲学家在人类认识世界、把握人生过程中观念思维超越时空的交互与相通。     

The mad estimator: when is it non-linear? applications to two-way design models

The mean absolute deviation (MAD) estimator has recently received a great deal of attention as applied to full-rank linear regression models. This paper provides a necessary and sufficient condition for the MAD estimator to be a non-linear estimator, in which case conditions for the variance of the MAD estimator to be larger or smaller than those for OLS are, in general, unknown. The non-linearity of the MAD estimator is examined for several two-way designs; in particular (1) randomized block design (2) two-way nested design (3) two-way classification with interaction and (4) partially balanced incomplete block design     

试论罗素逻辑原子的两种简单性

有关罗素逻辑原子的简单性问题一直以来都存在着争议,这主要是由于他在不同时期不同本文中一些相互冲突、十分含糊的说辞造成的。文章将立足罗素与逻辑原子主义相关的一手文献,将简单分为两类：绝对简单和相对简单,分别探讨这些争论的焦点所在,并为罗素那些看似矛盾的说法给出自己的解释,也即为逻辑分析的方法正名。     

Flexible regression modeling

The author proposes a new method for flexible regression modeling of multi‐dimensional data, where the regression function is approximated by a linear combination of logistic basis functions. The method is adaptive, selecting simple or more complex models as appropriate. The number, location, and (to some extent) shape of the basis functions are automatically determined from the data. The method is also affine invariant, so accuracy of the fit is not affected by rotation or scaling of the covariates. Squared error and absolute error criteria are both available for estimation. The latter provides a robust estimator of the conditional median function. Computation is relatively fast, particularly for large data sets, so the method is well suited for data mining applications.