Multi-relational learning via hierarchical nonparametric Bayesian collective matrix factorization

Relational learning addresses problems where the data come from multiple sources and are linked together through complex relational networks. Two important goals are pattern discovery (e.g. by (co)-clustering) and predicting unknown values of a relation, given a set of entities and observed relations among entities. In the presence of multiple relations, combining information from different but related relations can lead to better insights and improved prediction. For this purpose, we propose a nonparametric hierarchical Bayesian model that improves on existing collaborative factorization models and frames a large number of relational learning problems. The proposed model naturally incorporates (co)-clustering and prediction analysis in a single unified framework, and allows for the estimation of entire missing row or column vectors. We develop an efficient Gibbs algorithm and a hybrid Gibbs using Newton's method to enable fast computation in high dimensions. We demonstrate the value of our framework on simulated experiments and on two real-world problems: discovering kinship systems and predicting the authors of certain articles based on article–word co-occurrence features.     

企业非市场战略理论体系及其内在主导机制研究

基于非市场环境界定了企业非市场战略的内涵;分析了企业政治战略、社会公众及媒体战略和企业社会责任战略等非市场战略类型,以期建立一个完整的非市场战略理论体系。最后,论述了市场与非市场战略内在主导机制的差异,即市场战略由“独特性机制”支配,而非市场战略则靠“合法性机制”来主导。要获得持续的竞争优势和卓越绩效,企业应对市场战略和非市场战略进行协同整合,构建起“市场-非市场”的一体化整合战略。     

Dynamic Identification of Dynamic Stochastic General Equilibrium Models

This paper studies dynamic identification of parameters of a dynamic stochastic general equilibrium model from the first and second moments of the data. Classical results for dynamic simultaneous equations do not apply because the state space solution of the model does not constitute a standard reduced form. Full rank of the Jacobian matrix of derivatives of the solution parameters with respect to the parameters of interest is necessary but not sufficient for identification. We use restrictions implied by observational equivalence to obtain two sets of rank and order conditions: one for stochastically singular models and another for nonsingular models. Measurement errors, mean, long‐run, and a priori restrictions can be accommodated. An example is considered to illustrate the results.     

Wilks’ factorization of the matrix-variate Dirichlet–Riesz distributions

The Riesz distributions on positive definite symmetric matrices are used to introduce a class of Dirichlet–Riesz distributions. In addition, several distributional properties are stated. Essentially, we show the relationship between the Dirichlet–Riesz distributions of the first kind and the second kind, respectively. We derive Wilks’ factorization of the matrix-variate Dirichlet–Riesz. Further, several results on the product of Riesz and beta–Riesz matrices with a set of Dirichlet–Riesz matrices of the first kind have been derived.     

悖论的根源

这是2005年11月桂林全国辩证逻辑讨论会会议论文的后两部分(共四部分);前两部分以"悖论与自指"为题发表于《安徽大学学报(哲学社会科学版)》2007年第2期。悖论及悖论性错误的直接原因是认为语句可以自我指称,而语句自指是不可能的。我们之所以认为语句自指可能,就是因为我们对语言的"当下、即时"这一重要性质缺乏理解所导致的某种混淆;这才是悖论及悖论性错误的根源所在。     

21世纪,还需要鲁迅吗？

在刚刚过去的20世纪,鲁迅之于中国,无疑是一个显赫的存在,他在这个世纪只活了36年,但死后却以不以其个人意志为转移的方式持续发生更加深刻的影响。20世纪末,随着中国社会的复杂转型,思想文化语境产生新的变局,在这一新语境中,     

重塑“中国的凯撒”赢政的艺术形象

秦始皇赢政被世界著名历史学家称之为“中国的凯撒”,也曾被诗人李白称颂为“秦王扫六合,虎视何雄哉”的历史巨人,但在中国史书和历史小说中却是一个被严重扭曲丑化的人物。《大秦帝国》以崭新的创作理念,冲破历史的迷雾,重塑了秦始皇赢政的艺术形象,在读者面前呈现出一个鲜活的个性突出的发展着的典型性格。这是小说作者为中国文学发展做出的新贡献。     

潮州湘子桥的历史文化意义

潮州湘子桥历史悠久,结构独特,是潮州最重要的历史文化地标。湘子桥的建造体现了治潮官员执政为民的政治理念,桥梁独特的结构跟韩江航运的历史息息相关,"湘子"之名体现了潮人浓烈的崇韩情节。潮州湘子桥在潮州的历史发展中有着非常重要的意义。     

《示众》:独异的杰作

<示众>的艺术形式与传统小说迥异,它是二三十年代中国读者所完全陌生的,与今天主流的小说理论依然有相当的距离;<示众>的题材是生活中极常见、也极容易忽视的,它所开掘的思想内涵却是极深刻、极富有开创性的.<示众>是独异的也是杰出的,独异性与杰出性是<示众>相连贯的两个方面,这为读者阅读接受带来了一定的困难,但同时也给读者留下了长久回味、思考和反省的价值.     

赫哲族民族图案艺术研究

一个古老而勤劳的民族——赫哲族,是五十六个民族中较小的一员。“她”居住、生活在祖国北疆的三江平原上。这个古老而又弱小的民族,在几千年的沧桑岁月中却创造发展了光辉灿烂的民族文化艺术,从赫哲妇女用桦树皮剪成的各种图案,到赫哲人的鱼皮裤和图腾“海东青”,都充分体现了赫哲图案的历史价值,同时也丰富了中华民族文化艺术宝库。我们在研究创新这种图案文化的同时,也要将其融入美术教学中,以便更好的借鉴发展这个少数民族的文化遗产。