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2009 Ninth International Conference on Intelligent Systems Design and Applications最新文献

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Towards Interpretable General Type-2 Fuzzy Classifiers 可解释的一般2型模糊分类器
Luís A. Lucas, T. M. Centeno, M. Delgado
This paper presents two versions of a general type-2 fuzzy classifier. The focus is on interpretability since the rules are meaningful and the rule base is comprised of few rules, which is a direct consequence of the hierarchical reclassification process being proposed. The approaches are evaluated on a land cover classification problem by using data from a remote sensing platform. The classifiers’ performance are compared with the reference ones’ (maximum likelihood classifier and ordinary fuzzy classifier). The results show that the general type-2 fuzzy modeling is able to produce accurate classifiers while maintaining the model interpretability.
本文给出了两个版本的通用2型模糊分类器。重点是可解释性,因为规则是有意义的,规则库由很少的规则组成,这是提出的分层重分类过程的直接结果。利用遥感平台的数据对土地覆盖分类问题进行了评价。并与参考分类器(最大似然分类器和普通模糊分类器)的性能进行了比较。结果表明,一般的二类模糊建模能够在保持模型可解释性的前提下产生准确的分类器。
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引用次数: 3
Intelligent Lighting Control User Interface through Design of Illuminance Distribution 基于照度分配设计的智能照明控制用户界面
T. Hiroyasu, Akiyuki Nakamura, Sho Shinohara, Masato Yoshimi, M. Miki, Hisatake Yokouchi
Many types of artifacts can be connected and controlled over a network. However, when a lot of artifacts are connected, it is very difficult to control with conventional interface switches. The interface of these systems should be suitable for each individual user and should be designed for ease of operation. In this paper, a new type of user-friendly interface for a networked lighting system that can be controlled over the network is proposed. In the proposed system, the user operates the lighting system by designing the illuminance distribution, and the system learns user's sensory scale to support this design.
可以通过网络连接和控制许多类型的工件。然而,当大量工件被连接时,使用传统的接口开关进行控制非常困难。这些系统的界面应适合每个用户,并应设计为易于操作。本文提出了一种新型的可通过网络控制的网络化照明系统用户友好界面。在本文提出的系统中,用户通过设计照度分布来操作照明系统,系统学习用户的感官尺度来支持这种设计。
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引用次数: 6
Effects of Data Reduction on the Generalization Ability of Parallel Distributed Genetic Fuzzy Rule Selection 数据约简对并行分布式遗传模糊规则选择泛化能力的影响
Y. Nojima, H. Ishibuchi
Genetic fuzzy rule selection has been successfully used to design accurate and interpretable fuzzy classifiers from numerical data. In our former study, we proposed its parallel distributed implementation which can drastically decrease the computational time by dividing both a population and a training data set into sub-groups. In this paper, we examine the effect of data reduction on the generalization ability of fuzzy rule-based classifiers designed by our parallel distributed approach. Through computational experiments, we show that data reduction can be realized without severe deterioration in the generalization ability of the designed fuzzy classifiers.
利用遗传模糊规则选择成功地设计了精确的、可解释的数值模糊分类器。在我们之前的研究中,我们提出了它的并行分布式实现,通过将总体和训练数据集划分为子组,可以大大减少计算时间。在本文中,我们研究了数据约简对采用并行分布式方法设计的模糊规则分类器泛化能力的影响。通过计算实验,我们证明了所设计的模糊分类器可以在不严重降低其泛化能力的情况下实现数据约简。
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引用次数: 6
An Experiment About Using Copulative and Comparative Sentences as Constraining Relations 结合句和比较句作为约束关系的实验
Andrés Soto, J. A. Olivas, F. P. Romero, J. Serrano-Guerrero
Existing search engines and question-answering (QA) systems have made possible processing large volumes of textual information. Current work on QA has mainly focused on answering two basic types of questions: factoid and definition questions. However, the capability to synthesize an answer to a query by drawing on bodies of information which reside in various parts of the knowledge base is not among the capabilities of those systems. In this paper, a system oriented to infer query answers from a collection of propositions expressed in natural language is introduced. By means of a specific example, it is outlined how the system proceeds to face those situations. This approach is based on the use of formal constraining relations modeling copulative and comparative sentences. Combining those propositions with others contained in different knowledge bases and applying deduction rules, the desired answer could be obtained.
现有的搜索引擎和问答(QA)系统使得处理大量文本信息成为可能。目前的QA工作主要集中在回答两种基本类型的问题:事实问题和定义问题。然而,通过利用驻留在知识库各个部分的信息体来综合查询答案的能力并不在这些系统的能力之列。本文介绍了一个面向从自然语言表达的命题集合中推断查询答案的系统。通过一个具体的例子,概述了系统如何处理这些情况。这种方法是基于使用形式约束关系对并列和比较句进行建模。将这些命题与不同知识库中包含的命题结合,应用演绎规则,即可得到期望的答案。
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引用次数: 0
Extraction and Synchronization of BOLD Spontaneous Oscillations Using Singular Spectrum Analysis 基于奇异谱分析的BOLD自发振荡提取与同步
D. Menicucci, A. Gemignani, Andrea Piarulli, R. Bedini, C. Gentili, G. Handjaras, S. Danti, M. Guazzelli, M. Laurino, P. Piaggi, A. Landi
Spontaneous cerebral blood oxygenation level-dependent (BOLD) fluctuations are gaining interest in the neurophysiology community. These oscillations are prominent in the low-frequency range with spatiotemporal correlations. From a healthy individual, a basal resting state BOLD fMRI acquisition has been performed by collecting 4 slices. Voxel signals from seven selected regions have been considered. We assumed a composite null-hypothesis of oscillations embedded in “red noise”. To extract oscillations from BOLD signals we applied the Monte Carlo Singular Spectrum Analysis (SSA). Phase-synchronization of the oscillatory components, in the low-frequency range 0.085-0.13Hz, have been also achieved. As results, region-dependent distributions were apparent both for the noise parameters and for the number of connections between voxels. Although further studies on population samples should confirm the result consistency, the SSA technique combined with a phase-synchronization analysis seems a feasible method to extract low frequency BOLD spontaneous oscillations and to find functional connections among cerebral areas.
自发性脑血氧水平依赖性(BOLD)波动引起了神经生理学界的兴趣。这些振荡在低频范围内表现突出,具有时空相关性。从一个健康个体,通过收集4个切片进行基础静息状态BOLD fMRI采集。考虑了来自七个选定区域的体素信号。我们假设了嵌入在“红噪声”中的振荡的复合零假设。为了从BOLD信号中提取振荡,我们应用了蒙特卡罗奇异谱分析(SSA)。在0.085-0.13Hz的低频范围内,也实现了振荡元件的相位同步。结果表明,噪声参数和体素之间的连接数的区域依赖分布都很明显。尽管对总体样本的进一步研究应证实结果的一致性,但结合相位同步分析的SSA技术似乎是提取低频BOLD自发振荡并发现大脑区域之间功能联系的可行方法。
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引用次数: 0
A JADE-Based ART-Inspired Ontology and Protocols for Handling Trust and Reputation 基于jade的基于艺术的本体和处理信任和声誉的协议
J. Carbo, J. M. Molina
Trust and Reputation management play an important role in agent-based Recommender Systems. Although several protocols and ontologies of agents using trust and reputation has been proposed, none of them has been so extensively used and implicitly accepted by research community as those from Agent Reputation and Trust (ART in advane) testbed. The motivation of this adaptation is to facilitate the use of ART principles in real distributed applications instead of a centralized testbed for experimentation. This paper presents an adaptation of the protocols proposed by ART testbed to a codification for the most popular Agent platform: JADE. This implementation follows a coherent API with the FIPA protocols included in JADE distribution for an easy use. We also complement the behaviours of corresponding initiators and responders of the protocols with an ontology formed by a collection of concepts, predicates and agent actions that may represent as the ART application domain as any other service-oriented domain. The proposal has been designed to be applied in domains where multi-agent e-commerce solutions are needed. Future work includes the integration of this ontology and protocols in context-aware scenarios such as an airport.
信任和声誉管理在基于智能体的推荐系统中起着重要的作用。虽然已经提出了几种使用信任和声誉的代理协议和本体,但它们都没有像来自代理信誉和信任(ART in advance)测试平台的协议和本体那样被研究团体广泛使用和隐含接受。这种调整的动机是促进在真实的分布式应用程序中使用ART原则,而不是用于实验的集中测试平台。本文将ART测试平台提出的协议改编为最流行的Agent平台JADE的编码。为了便于使用,该实现遵循一个与JADE发行版中包含的FIPA协议一致的API。我们还用一个本体来补充协议的相应发起者和响应者的行为,该本体由一系列概念、谓词和代理动作组成,可以表示为ART应用领域和任何其他面向服务的领域。该方案被设计用于需要多代理电子商务解决方案的领域。未来的工作包括在上下文感知场景(如机场)中集成该本体和协议。
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引用次数: 1
General Purpose Input Variables Extraction: A Genetic Algorithm Based Procedure GIVE A GAP 通用输入变量提取:一种基于遗传算法的程序
S. Cateni, V. Colla, M. Vannucci
The paper presents an application of genetic algorithms to the problem of input variables selection for the design of neural systems. The basic idea of the proposed method lies in the use of genetic algorithms in order to select the set of variables to be fed to the neural networks. However, the main concept behind this approach is far more general and does not depend on the particular adopted model: it can be used for a wide category of systems, also non-neural, and with a variety of performance indicators. The proposed method has been tested on a simple case study, in order to demonstrate its effectiveness. The results obtained in the processing of experimental data are presented and discussed.
本文介绍了遗传算法在神经系统设计中输入变量选择问题中的应用。提出的方法的基本思想在于使用遗传算法来选择要馈送给神经网络的变量集。然而,这种方法背后的主要概念要普遍得多,不依赖于所采用的特定模型:它可以用于广泛的系统,也可以用于非神经系统,并具有各种性能指标。通过一个简单的案例分析,验证了该方法的有效性。对实验数据处理的结果进行了介绍和讨论。
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引用次数: 40
Strategic Assessment of Business 企业战略评估
J. Doña, J. I. Peláez, Luis G. Vargas
The stock market volatility and the actual stock exchange activity have increased the need of counting with effective methods on the part of financial analysts to achieve a division in relation to the investment actions, being also growing the demand of methodological instruments that reduce and minimize the risks and uncertainty when valuating financial actives and companies. These systems not only must use quantitative information but the inclusion of qualitative information must also bear heavily on them, as an improvement element in the adjustment of these valuating methods, with the aim of throwing a more well-conceived or less mistaken decision. In this work, we present an alternative strategic assessment of business based in quantitative information.
股票市场的波动和实际的股票交易活动增加了金融分析师对有效方法的计数的需求,以实现与投资行为相关的划分,同时也增加了对方法论工具的需求,这些工具可以在评估金融活动和公司时减少风险和不确定性。这些系统不仅必须使用数量资料,而且也必须包括质量资料,作为调整这些评价方法的一个改进因素,以便作出考虑更周全或错误更少的决定。在这项工作中,我们提出了一种基于定量信息的替代战略评估。
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引用次数: 0
Performance Assessment of a Mathematical Morphology Ship Detection Algorithm for SAR Images through Comparison with AIS Data 一种基于数学形态学的SAR船舶检测算法与AIS数据的性能比较
R. Grasso, S. Mirra, A. Baldacci, J. Horstmann, M. Coffin, M. Jarvis
This paper describes a procedure to evaluate the performance of ship detection algorithms for Synthetic Aperture Radar (SAR) using real SAR images and Automatic Identification System (AIS) data as ground truth. Accurate AIS-SAR data association is achieved by correcting the AIS data for the SAR induced position errors by exploiting SAR acquisition parameters and vessel state information (speed and course) provided by AIS tracks. The methodology has been tested on a ship detection algorithm based on mathematical morphology which is described in this paper. The evaluation has been carried out on a RADARSAT-2 data set including images at different acquisition modes which was collected in the Mediterranean Sea. Estimates for the detection and the false alarm probability, and the contact position error are provided.
本文介绍了一种以合成孔径雷达(SAR)真实图像和自动识别系统(AIS)数据为基准的舰船检测算法的性能评估方法。通过利用AIS航迹提供的SAR采集参数和船舶状态信息(速度和航向),校正AIS数据中由SAR引起的位置误差,实现精确的AIS-SAR数据关联。本文在一种基于数学形态学的船舶检测算法上对该方法进行了验证。对在地中海收集的RADARSAT-2数据集进行了评价,其中包括不同获取模式下的图像。给出了检测概率和虚警概率的估计,以及接触位置误差的估计。
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引用次数: 20
Discovering Learning Objects Usability Characteristics 发现学习对象的可用性特征
Alfredo Zapata, Víctor Hugo Menéndez Domínguez, Manuel E. Prieto
Metadata is the key to describe Learning Objects. Through them, we can search and reuse these resources. However, there are pedagogical and usability characteristics that metadata do not normally contain. Sources of additional information such as activity log registers in repositories can help to specify such attributes. Data mining techniques allow identifying Learning Objects usability characteristics. This paper presents the results of applying a knowledge extraction methodology to Learning Objects through the use of four data sources: metadata, pedagogical quality evaluations, user’s profiles, and log files from Learning Objects management systems.
元数据是描述学习对象的关键。通过它们,我们可以搜索和再利用这些资源。然而,元数据通常不包含教学和可用性特征。其他信息源(如存储库中的活动日志寄存器)可以帮助指定此类属性。数据挖掘技术允许识别学习对象的可用性特征。本文通过使用四种数据源(元数据、教学质量评估、用户档案和来自学习对象管理系统的日志文件),介绍了将知识提取方法应用于学习对象的结果。
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引用次数: 8
期刊
2009 Ninth International Conference on Intelligent Systems Design and Applications
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