Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization

Semi-supervised multi-view learning has recently achieved appealing performance with the consensus relation between samples. However, in addition to the relation between samples, the relation between samples and their assemble centroid is also important to the learning. In this paper, we propose a novel model based on orthogonal non-negative matrix factorization, which allows exploring both the consensus relations between samples and between samples and their assemble centroid. Since this model utilizes more consensus information to guide the multi-view learning, it can lead to better performance. Meanwhile, we theoretically derive a proposition about the equivalency between the partial orthogonality and the full orthogonality. Based on this proposition, the orthogonality constraint and the label constraint are simultaneously implemented in the proposed model. Experimental evaluations on five real-world datasets show that our approach outperforms the state-of-the-art methods, where the improvement is 6% average in terms of ARI index.     

Coupled matrix factorization and topic modeling for aspect mining

Aspect mining, which aims to extract ad hoc aspects from online reviews and predict rating or opinion on each aspect, can satisfy the personalized needs for evaluation of specific aspect on product quality. Recently, with the increase of related research, how to effectively integrate rating and review information has become the key issue for addressing this problem. Considering that matrix factorization is an effective tool for rating prediction and topic modeling is widely used for review processing, it is a natural idea to combine matrix factorization and topic modeling for aspect mining (or called aspect rating prediction). However, this idea faces several challenges on how to address suitable sharing factors, scale mismatch, and dependency relation of rating and review information. In this paper, we propose a novel model to effectively integrate Matrix factorization and Topic modeling for Aspect rating prediction (MaToAsp). To overcome the above challenges and ensure the performance, MaToAsp employs items as the sharing factors to combine matrix factorization and topic modeling, and introduces an interpretive preference probability to eliminate scale mismatch. In the hybrid model, we establish a dependency relation from ratings to sentiment terms in phrases. The experiments on two real datasets including Chinese Dianping and English Tripadvisor prove that MaToAsp not only obtains reasonable aspect identification but also achieves the best aspect rating prediction performance, compared to recent representative baselines.     

Global dissipativity and quasi-synchronization of asynchronous updating fractional-order memristor-based neural networks via interval matrix method

This paper investigates the global dissipativity and quasi-synchronization of asynchronous updating fractional-order memristor-based neural networks (AUFMNNs) via interval matrix method. First, a new class of FMNNs named AUFMNNs is proposed for the first time, in which the switching jumps are asymmetric. In other words, each memristive connection weight is updated based on its own channel and hence the number of the subsystems increases significantly from 2ⁿ to $2^{2n^2}$. Under the framework of fractional-order differential inclusions, the proposed AUFMNNs can be regarded as a system with interval parameters. Then, the global dissipativity criterion is established by constructing appropriate Lyapunov function in combination with the estimates of 2-norm for interval matrices and some fractional-order differential inequalities. In addition, for drive-response AUFMNNs with mismatched parameters, the problem of quasi-synchronization is explored via linear state feedback control. It has been shown that complete synchronization between two AUFMNNs cannot be achieved via linear feedback control and that the synchronization error bound can be controlled within a relatively small level by selecting suitable control parameters. Finally, three numerical examples are given to demonstrate the effectiveness and the improvement of the obtained results.     

外审专家信息的更新与维护

【目的】提出一种切实可行的外审专家信息更新方法,解决稿件送审困难的问题。【方法】 通过分析编委对期刊提出的意见,确定外审专家信息缺失是影响编委送审的主要问题,得出外审专家信息维护的必要性。通过对获取编委信息渠道的讨论及对微软办公软件的研究,提出外审专家信息更新维护的方法。将提出方法用到2013-2014年为IJAC审理过稿件的外审专家数据库上。【结果】为了评估提出方法的性能,定义了信息缺失率和期刊退回率。数据表明,通过提出的信息更新方法,外审专家的信息缺失率为9.14%,即90.86% 的外审专家信息不缺失。IJAC为这90.86% 的外审专家寄送样刊,期刊的退回率仅为0.99%。可以看出,提出的外审专家信息更新方法可以极大地提高外审专家信息的全面性和准确性。【结论】 面对外审专家信息缺失的难题,提出的方法可以有效地解决由于信息缺失导致的稿件送审难题,进而促进期刊稿件质量的提升和编辑部的长远发展。     

A new set of orthogonal functions and its application to the analysis of dynamic systems

The present work proposes a complementary pair of orthogonal triangular function (TF) sets derived from the well-known block pulse function (BPF) set. The operational matrices for integration in TF domain have been computed and their relation with the BPF domain integral operational matrix is shown. It has been established with illustration that the TF domain technique is more accurate than the BPF domain technique as far as integration is concerned, and it provides with a piecewise linear solution.As a further study, the newly proposed sets have been applied to the analysis of dynamic systems to prove the fact that it introduces less mean integral squared error (MISE) than the staircase solution obtained from BPF domain analysis, without any extra computational burden. Finally, a detailed study of the representational error has been made to estimate the upper bound of the MISE for the TF approximation of a function f(t) of Lebesgue measure.     

Matching polynomials: A matrix approach and its applications

A new approach is formulated for the matching polynomial m(G) of a graph G. A matrix A(G) is associated with G. A certain function defined on A(G) yields the matching polynomial of G. This approach leads to a simple characterization of m(G). It also facilitates a technique for constructing graphs with a given matching polynomial.     

虚拟团队及其管理价值研究

介绍了虚拟团队的产生条件、特点和功能,并对虚拟团队的管理价值及所面临的一些问题进行了分析。     

环境不确定情境下组织惯例更新的前因与后果

本文主要探讨环境不确定情境下组织惯例更新的前因与后果。基于对上海、新疆、河南232家企业中高层管理人员的数据分析，研究结果表明：CEO变革型领导行为能够显著影响组织惯例更新的进程；组织惯例更新在CEO变革型领导行为与组织绩效之间起着中介效应；环境不确定性在CEO变革型领导行为与组织惯例更新之间起着调节效应。这些研究结果在厘清组织惯例更新的影响因素及效能，丰富组织惯例研究成果方面具有一定的理论意义和实践意义。     

同族专利及其检索

本文阐述了同族专利的意义和信息的价值，并探讨了同族专利信息的检索方法，重点介绍了利用Internet检索同族专利的方法，为我国企业获取同族专利信息提供参考。     

On the computation of the transfer function matrix of singular systems

For singular systems, i.e. for systems of the form E[xdot] = Ax + Bu, with E singular, the problem of computing the transfer function matrix has been studied. An algorithm is developed which is similar to the corresponding algorithm proposed by Faddeev or Leverrier for regular systems. The present results involve the Drazin inverse and yield an expression for the transfer function matrix suitable for computer use.     

动态多指标决策的理想矩阵法及应用

针对一类动态多指标决策问题，提出了理想矩阵法，该方法将指标的好坏和增长率因素巧妙地融合到方案决策中去，妥善的将三维决策问题处理为二维决策问题，并给出了一个理想矩阵法的应用案例。通过理想矩阵求解各方案的贴近度，得到最终决策排序结果。     

论企业知识化及其对策

企业不仅存在信息化的问题，也存在知识化的问题，企业知识化内容包括：人才的高素质化、技术先进性、发展性、产品的智能化、人性化、营销的知识化、服务的知识化、管理的现代化与个性化，等等。在此基础上，文章提出了企业知识化的策略，并指出，企业知识化还意味着企业知识化管理。     

论信息资源产业及其范畴

通过调查国内外重要政府文件和研究文献,定义了信息资源产业的内涵,并从理论和统计两个层面分析了信息资源产业的结构,包括数字出版业、数字广播电视业、数字电影业、通信增值服务业、网络游戏业、内容软件业、动漫业、数字学习业、网络广告业、数据处理与数据库业、咨询与调查业等.     

The equivalence of decimation in time and decimation in frequency in FFT computations

A data and error complexity analysis of two algorithms for fast Fourier transforms is presented. The results show that the algorithm using decimation in time is “equivalent” to the one using decimation in frequency. This is also supported by the numerical experiments described.     

日本软件产业研究:广义创新视角

从广义技术创新的视角分析日本软件产业发展遇到的四大制约因素:技术制约、政府产业政策制约、企业文化制约和日本语制约。探究日本企业为应对软件产业的挑战采用的三种创新战略:组建软件工厂,“拿来主义”和在嵌入式软件开发和机器翻译领域的不懈努力。     

BEC教学实践中出现的难题和解决策略

中国加入WT0后,国际商务活动日益频繁,国内的商务环境国际化进程加快。人才市场对既熟悉商务规则又能用英语熟练进行涉外商务活动的拥有BEC证书的人才需求趋势不断上升。本文分析了BEC教学实践中出现的难题,探讨了教学过程中行之有效的解决策略。     

论非职务技术发明及其发展

非职务技术发明是我国技术发明与创新的重要组成部分。非职务技术发明具有发明主体的广泛性、价值追求的非营利性、活动运行的高效性以及技术成果竞争力强等特性，有利于科技和经济的发展，但目前却面临着发明处境艰难、专利转化极为困难、主体年龄严重老化等困境。克服非职务技术发明面临的不利因素，促进其更好地发展，必须给予平等对待和必要的政策扶助。     

谈我国民间科技奖励及管理

本文论述了民间科技奖励的概念及其界定与分类;阐明了民间科技奖励的社会功能与在国家科技奖励体系中的重要地位和作用;提出了为确保民间科技奖励的健康发展,国家应确立“鼓励提倡、宏观调控、引导扶持”的总方针,并进而对其做了具体讨论与说明     

Factorization of the minors of characteristic matrix sI-A and DM decomposition of its representation graph

A relationship is established between the prime factorization of the minors of characteristic matrix sI-A and the decomposition into irreducible parts (DM decomposition) of its representation graph. The result is applicable to the study of linear systems.     

On the relaxed gradient-based iterative methods for the generalized coupled Sylvester-transpose matrix equations

In this paper, we propose the full-rank and reduced-rank relaxed gradient-based iterative algorithms for solving the generalized coupled Sylvester-transpose matrix equations. We provide analytically the necessary and sufficient condition for the convergence of the proposed iterative algorithm and give explicitly the optimal step size such that the convergence rate of the algorithm is maximized. Some numerical examples are examined to confirm the feasibility and efficiency of the proposed algorithms.