Int. J. Knowl. Based Intell. Eng. Syst.最新文献_第10页

Simulating resource-bounded intelligence for wireless sensor networks 无线传感器网络资源边界智能模拟

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140290

S. Shen, Gregory M. P. O'Hare, M. O'Grady, Guangqing Wang

引用次数: 1

A hybrid knowledge-based approach to collaborative filtering for improved recommendations 一种基于混合知识的改进推荐协同过滤方法

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140292

S. Tyagi, K. K. Bharadwaj

{"title":"A hybrid knowledge-based approach to collaborative filtering for improved recommendations","authors":"S. Tyagi, K. K. Bharadwaj","doi":"10.3233/KES-140292","DOIUrl":"https://doi.org/10.3233/KES-140292","url":null,"abstract":"Collaborative filtering (CF) is one of the most successful and effective recommendation techniques for personalized information access. This method makes recommendations based on past transactions and feedback from users sharing similar interests. However, many commercial recommender systems are widely adopting the CF algorithms; these methods are required to have the ability to deal with sparsity in data and to scale with the increasing number of users and items. The proposed approach addresses the problems of sparsity and scalability by first clustering users based on their rating patterns and then inferring clusters (neighborhoods) by applying two knowledge-based techniques: rule-based reasoning (RBR) and case-based reasoning (CBR) individually. Further to improve accuracy of the system, HRC (hybridization of RBR and CBR) procedure is employed to generate an optimal neighborhood for an active user. The proposed three neighborhood generation procedures are then combined with CF to develop RBR/CF, CBR/CF, and HBR/CF schemes for recommendations. An empirical study reveals that the RBR/CF and CBR/CF perform better than other state-of-the-art CF algorithms, whereas HRC/CF clearly outperforms the rest of the schemes.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124994626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Independent analysis of feature based face recognition algorithms under varying poses 基于特征的人脸识别算法在不同姿态下的独立分析

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140286

Kavita R. Singh, M. Zaveri, M. Raghuwanshi

引用次数: 0

Feature selection based on partition clustering 基于分区聚类的特征选择

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140293

Shuang Liu, Qiang Zhao, Xiang Wu

引用次数: 2

Digital watermarking based on fractal image coding using DWT and HVS 基于DWT和HVS的分形图像编码数字水印

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140288

S. Ohga, R. Hamabe

引用次数: 3

Learning Markov logic networks with limited number of labeled training examples 用有限数量的标记训练样本学习马尔可夫逻辑网络

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140289

Tak-Lam Wong

引用次数: 3

On the stimulus duty cycle in steady state visual evoked potential 稳态视觉诱发电位刺激占空比的研究

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2014-04-01 DOI: 10.3233/KES-140287

John J. Wilson, R. Palaniappan

{"title":"On the stimulus duty cycle in steady state visual evoked potential","authors":"John J. Wilson, R. Palaniappan","doi":"10.3233/KES-140287","DOIUrl":"https://doi.org/10.3233/KES-140287","url":null,"abstract":"Brain-computer interfaces (BCI) are useful devices that allow direct control of external devices using thoughts, i.e. brain's electrical activity. There are several BCI paradigms, of which steady state visual evoked potential (SSVEP) is the most commonly used due to its quick response and accuracy. SSVEP stimuli are typically generated by varying the luminance of a target for a set number of frames or display events. Conventionally, SSVEP based BCI paradigms use magnitude (amplitude) information from frequency domain but recently, SSVEP based BCI paradigms have begun to utilize phase information to discriminate between similar frequency targets. This paper will demonstrate that using a single frame to modulate a stimulus may lead to a bi-modal distribution of SSVEP as a consequence of a user attending both transition edges. This incoherence, while of less importance in traditional magnitude domain SSVEP BCIs becomes critical when phase is taken into account. An alternative modulation technique incorporating a 50% duty cycle is also a popular method for generating SSVEP stimuli but has a unimodal distribution due to user's forced attention to a single transition edge. This paper demonstrates that utilizing the second method results in significantly enhanced performance in information transfer rate in a phase discrimination SSVEP based BCI.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127158929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analyzing the influence of Value at Risk on financial markets through agent-based modeling 基于代理模型分析风险价值对金融市场的影响

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2013-10-01 DOI: 10.3233/KES-130276

Hiroshi Takahashi

{"title":"Analyzing the influence of Value at Risk on financial markets through agent-based modeling","authors":"Hiroshi Takahashi","doi":"10.3233/KES-130276","DOIUrl":"https://doi.org/10.3233/KES-130276","url":null,"abstract":"This article describes the influence of risk management on financial markets. Institutional investors, such as pension funds, are legally required to follow a duty of care. Implementing adequate risk management is regarded as a central part of institutional investors' legal responsibilities and considered to be effective in terms of limiting investors' losses. The most prevalent risk management method is known as Value at Risk VaR and this is the focal point of my analysis. As a result of intensive agent-based modeling and experimentation, I have concluded that: 1 market prices could deviate from fundamental values when risk management criteria are too strict; 2 the larger the disparity of investors' estimations of stock prices becomes, the larger the tendency of deviation from fundamental values; 3 the same tendency can be observed under market conditions where heterogeneous investors trade. These results suggest that risk management which is required by law as a duty of care could contribute to market inefficiencies. If so, this is significant from both practical and academic points of view. Furthermore, I believe this paper proves the efficacy of agent-based modeling in analyzing the impact of certain regulations and laws on financial markets under realistic market conditions.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130005373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A fault diagnosis application based on a combination case-based reasoning and ontology approach 基于案例推理与本体方法相结合的故障诊断应用

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2013-10-01 DOI: 10.3233/KES-130280

N. Dendani, Tarek Khadir

{"title":"A fault diagnosis application based on a combination case-based reasoning and ontology approach","authors":"N. Dendani, Tarek Khadir","doi":"10.3233/KES-130280","DOIUrl":"https://doi.org/10.3233/KES-130280","url":null,"abstract":"Case-Based Reasoning CBR is a powerful tool for decision making as it approaches human natural thinking process, based on the reuse of past experiences in solving new problems. A CBR system is a combination of processes and knowledge called \"knowledge containers\", its reasoning power can be improved through the use of domain knowledge. CBR systems combining case specific knowledge with general domain knowledge models are called Knowledge Intensive CBR KI-CBR. Although CBR claims to reduce the effort required for developing knowledge-based systems substantially when compared with more traditional Artificial Intelligence approaches, the implementation of a CBR application from scratch is still a time consuming task. The present work aims to develop a CBR application for fault diagnosis of steam turbines that integrates a domain knowledge modeling in an ontological form and focuses on the similarity-based retrieval step. This system is viewed as a KI-CBR system based on domain ontology, built around jCOLIBRI and myCBR, two well-known frameworks to design KI-CBR systems. During the prototyping process, the use and functionality of the two focused frameworks are examined. A comparative study is performed with results presenting advantages provided by the use of ontologies with CBR systems and demonstrating that jCOLIBRI is well adapted to design KI-CBR system.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122413843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Smooth Newton method for implicit Lagrangian twin support vector regression 隐式拉格朗日孪生支持向量回归的光滑牛顿法

Int. J. Knowl. Based Intell. Eng. Syst. Pub Date : 2013-10-01 DOI: 10.3233/KES-130277

S. Balasundaram, M. Tanveer

引用次数: 10