论文艺人类学的逻辑起点

实现人的自由解放是文艺人类学的逻辑起点,其研究的重要价值成为这个逻辑起点的内在依据,为实现个体人内在生命自由解放提供了有效要素。文艺人类学的研究是人类诗意栖居的文化书写,这是整体人类外在生存境况的自由解放。     

The approximation of an unbiased test with a small level for the bioequivalence problem

In the bioequivalence problem. Brown. Hwang and Munk (1997) constructed an unbiased level a test and other tests which are uniformly more powerful than the two one-sided tests procedures when a iscomparatively larger. In this paper, for a small level, an unbiased test is shown to be approxirnately constructeQ lor tnis prooiem oy using tneir Metnog. ine numerical construction is also given.     

Solving,Estimating, and Selecting Nonlinear Dynamic Models Without the Curse of Dimensionality

We present a comprehensive framework for Bayesian estimation of structural nonlinear dynamic economic models on sparse grids to overcome the curse of dimensionality for approximations. We apply sparse grids to a global polynomial approximation of the model solution, to the quadrature of integrals arising as rational expectations, and to three new nonlinear state space filters which speed up the sequential importance resampling particle filter. The posterior of the structural parameters is estimated by a new Metropolis–Hastings algorithm with mixing parallel sequences. The parallel extension improves the global maximization property of the algorithm, simplifies the parameterization for an appropriate acceptance ratio, and allows a simple implementation of the estimation on parallel computers. Finally, we provide all algorithms in the open source software JBendge for the solution and estimation of a general class of models.     

基于LTP子模式的人脸识别研究

针对局部三元模式提取到的人脸特征通常具有较高的维数,导致特征的紧致度不高,提出一种新的局部人脸特征提取方法——LTP子模式,并结合线性鉴别分析获得最佳的人脸局部纹理紧致特征的分类投影轴.本文在ORL和AR两个标准人脸库上测试,LTP-SP提取到的人脸特征维数不到原LTP特征的30％,但是识别性能却优于原始算法,因此算法具有较好的应用前景.     

MML clustering of multi-state,Poisson, von Mises circular and Gaussian distributions

Minimum Message Length (MML) is an invariant Bayesian point estimation technique which is also statistically consistent and efficient. We provide a brief overview of MML inductive inference (Wallace C.S. and Boulton D.M. 1968. Computer Journal, 11: 185–194; Wallace C.S. and Freeman P.R. 1987. J. Royal Statistical Society (Series B), 49: 240–252; Wallace C.S. and Dowe D.L. (1999). Computer Journal), and how it has both an information-theoretic and a Bayesian interpretation. We then outline how MML is used for statistical parameter estimation, and how the MML mixture modelling program, Snob (Wallace C.S. and Boulton D.M. 1968. Computer Journal, 11: 185–194; Wallace C.S. 1986. In: Proceedings of the Nineteenth Australian Computer Science Conference (ACSC-9), Vol. 8, Monash University, Australia, pp. 357–366; Wallace C.S. and Dowe D.L. 1994b. In: Zhang C. et al. (Eds.), Proc. 7th Australian Joint Conf. on Artif. Intelligence. World Scientific, Singapore, pp. 37–44. See http://www.csse.monash.edu.au/-dld/Snob.html) uses the message lengths from various parameter estimates to enable it to combine parameter estimation with selection of the number of components and estimation of the relative abundances of the components. The message length is (to within a constant) the logarithm of the posterior probability (not a posterior density) of the theory. So, the MML theory can also be regarded as the theory with the highest posterior probability. Snob currently assumes that variables are uncorrelated within each component, and permits multi-variate data from Gaussian, discrete multi-category (or multi-state or multinomial), Poisson and von Mises circular distributions, as well as missing data. Additionally, Snob can do fully-parameterised mixture modelling, estimating the latent class assignments in addition to estimating the number of components, the relative abundances of the parameters and the component parameters. We also report on extensions of Snob for data which has sequential or spatial correlations between observations, or correlations between attributes.     

全球治理与地方治理的内在联系

宏观的全球治理与微观的地方治理，在治理过程中，有着密不可分的内在联系。无论从历史的角度考察全球治理和地方治理，还是从现实的发展角度考察全球治理与地方治理，两者都处于动态的相互影响和作用的关系之中。     

意象性思维特点简析

意象性思维与形象思维和逻辑思维相比较,既相通又有区别。从创作实践考查,意象性思维活动不是盲目而总是围绕着一个始发点或中心点展开的,以此组合和呈现的意象与意象之间的关系也同样有其内在的秩序和规律——尽管这种组合和呈现的秩序有时是反逻辑的。进一步从现象学的意向性理论来分析,意象性思维作为一种独特的意识活动,其指向性和内时间性特征也在作品的意象组合中有着充分的体现。当然,借助禅宗慧能"无念、无相、无住"的心性学说,无疑更能深化对意象性思维念念相续和相渗相融特点的认识。     

On the Second‐Order Random Walk Model for Irregular Locations

Abstract. The second‐order random walk (RW2) model is commonly used for smoothing data and for modelling response functions. It is computationally efficient due to the Markov properties of the joint (intrinsic) Gaussian density. For evenly spaced locations the RW2 model is well established, whereas for irregularly spaced locations there is no well established construction in the literature. By considering the RW2 model as the solution of a stochastic differential equation (SDE), a discretely observed integrated Wiener process, it is possible to derive the density preserving the Markov properties by augmenting the state‐space with the velocities. Here, we derive a computationally more efficient RW2 model for irregular locations using a Galerkin approximation to the solution of the SDE without the need of augmenting the state‐space. Numerical comparison with the exact solution demonstrates that the error in the Galerkin approximation is small and negligible in applications.     

气体滑脱因子测试装置研究

设计、制作了一台可测试气体滑脱因子b及岩芯克氏渗透率K_∞的测试装置，其测试原理基于一种测定岩芯气测渗透率K_g的新方法。利用这种方法，此装置可在一次压力下降过程中记录下多个压力、时间点，从而计算出多个K_g值，然后经最小二乘拟合得出b和K_∞。对测试装置作的重复性测试表明该装置是稳定、可靠的。     

大学生的学习观及其与学习动机、自我效能感的关系

文章采用大学生学习观问卷、大学生学习动机量表(WMI)、一般自我效能感量表(GSES)及学习效能感量表,对254名被试大学生进行问卷调查,并对部分学生进行访谈.结果表明:大学生的学习观总体上是倾向于建构性的;文理科学生、本专科学生在学习观的各维度得分上不存在显著差异;大学生的学习观与其内生动机、一般自我效能感、学习效能感存在显著正相关,但与外生动机多为显著负相关;学业自我体验与学习过程观是大学生内生动机的有效预测变量,学业自我体验也是大学生一般自我效能感和学习效能感的有效预测变量.