基于人工鱼群优化的直推式支持向量机分类算法

提出基于人工鱼群优化的直推式支持向量机分类算法。该算法使直推式学习思想的优势得到充分的展现,在部分UCI标准数据集和20-Newgroups文本实验数据集上的对比实验表明,该算法较经典支持向量机算法和基于蚁群算法的直推式支持向量机算法具有更高的分类性能。     

基于Map Reduce的Bagging贝叶斯文本分类

集中式系统框架难以进行海量文本数据分类。为此,提出一种基于Map Reduce的Bagging贝叶斯文本分类算法。介绍朴素贝叶斯文本分类算法,将其与Bagging算法结合,运用Map Reduce并行编程模型,在Hadoop平台上实现算法。实验结果表明,该算法分类准确率较高,运行时间较短,适用于大规模文本数据集的分类学习。     

用于能耗数据分析的改进并行BP算法

基于Map Reduce框架的传统BP神经网络算法收敛缓慢,训练易陷入局部极小点,使迭代次数过多,极大浪费资源。为此,提出并实现改进的并行BP算法,采用动态调节学习率、动量因子调整权重修正值,提升BP网络并行训练效率,利用预处理数据和最大分类概率增强分类的准确性。实验结果表明,改进的并行算法能提高分类准确率,缩短近17/18的训练时间。     

基于背景知识和主动学习的文本挖掘技术研究

为了达成好的文本分类和文本挖掘效果,往往需要使用大量的标识数据。然而数据标识不但操作复杂,而且成本昂贵。为此,在基于支持向量机的分类技术框架下,在文本分类和文本挖掘中引入未标识数据,具体的执行通过基于背景知识和基于主动学习两种方法展开。实验结果表明,基于背景知识的文本挖掘方法在基线分类器性能较强的情况下可以发挥优秀的文本挖掘性能,而基于主动学习的文本挖掘方法在一般的情况下就可以改善文本挖掘的性能指标。     

基于非迭代训练层次循环神经网络的快速文本分类算法

基于神经网络的文本分类算法需要较长的训练时间,难以满足在线文本分类的需求.针对这种情况,提出基于非迭代训练层次循环神经网络的快速文本分类算法.为循环神经网络设计了对抗训练模型,缓解层次注意力网络的过拟合问题.给出一种循环神经网络的非迭代训练算法,对激活函数进行线性逼近,快速地学习网络连接的权重.实验结果表明,在英文和中文文本的情况下,采用该算法均获得了理想的分类准确率,并且大幅度地减少了训练时间.     

一种提高文本分类效果的改进流形学习算法

流形学习算法在模式识别领域有着重要应用,针对文本分类数据的特点,提出一种基于邻域选取进行修正的局部线性嵌入算法,用带有权值的欧式距离来构造文本数据的局部邻域,提高文本分类的识别率;同时,利用文本数据的类别信息,运用半监督局部线性嵌入算法构造分类器,提高文本分类的效果。实验表明,本文基于文本分类改进的流形学习算法,能够有效地对文本进行分类。     

Spark平台下的高效Web文本分类系统的研究

针对KNN分类算法在面对海量Web文本处理情况时在单机上训练和测试效率低下的问题,提出基于Hadoop分布式平台以及Spark并行计算模型的无中间结果输出的改进型Web文本分类系统。同时为了充分利用Spark的迭代计算能力,在文本向量化阶段,在传统TFIDF文本特征加权算法的基础上充分考虑特征项在类内和类间的信息分布,提出一种改进的特征加权算法。实验结果表明,该文本分类系统结合Spark计算模型在提高文本预处理、文本向量化以及KNN文本分类算法的性能上有着优异的表现。     

基于Boosting算法集成遗传模糊分类器的文本分类

提出一种新颖的基于Boosting模糊分类的文本分类方法。首先采用潜在语义索引(LSI)对文本特征进行选择;然后提出Boosting算法集成模糊分类器学习,在每轮迭代训练过程中,算法通过调整训练样本的分布,利用遗传算法产生分类规则。减少分类规则能够正确分类样本的权值,使得新产生的分类规则重点考虑难于分类的样本。实验结果表明,该文本分类算法具有良好分类的性能。     

多标签文本分类研究进展

文本分类作为自然语言处理中一个基本任务,在20世纪50年代就已经对其算法进行了研究,现在单标签文本分类算法已经趋向成熟,但是对于多标签文本分类的研究还有很大的提升空间。介绍了多标签文本分类的基本概念以及基本流程,包括数据集获取、文本预处理、模型训练和预测结果。介绍了多标签文本分类的方法。这些方法主要分为两大类：传统机器学习方法和基于深度学习的方法。传统机器学习方法主要包括问题转换方法和算法自适应方法。基于深度学习的方法是利用各种神经网络模型来处理多标签文本分类问题,根据模型结构,将其分为基于CNN结构、基于RNN结构和基于Transfomer结构的多标签文本分类方法。对多标签文本分类常用的数据集进行了梳理总结。对未来的发展趋势进行了分析与展望。     

异构信息网络上基于图正则化的半监督学习

现实世界中存在着大量包含多种类型的对象和联系的异构信息网络,从中挖掘信息获取知识已成为当前的研究热点之一．基于图正则化的半监督学习在近年来得到了广泛的研究,然而,现有的半监督学习算法大都只能应用于同构网络．基于同构节点和异构节点的一致性假设,提出了任意结构的异构信息网络上的半监督学习的正则化分类函数,并得到分类函数的闭式解,以此预测未标记节点的类别．提出了异构信息网络上的半监督学习的迭代框架,标记节点的信息可以在邻近的节点上迭代传播,直至达到稳定状态,并证明了迭代算法将收敛于正则化分类函数的闭式解．DBL P数据集上的实验表明该方法优于经典的半监督学习算法．     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

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Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate