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Int. J. Knowl. Eng. Soft Data Paradigms最新文献

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Rule acquisition for cognitive agents by using estimation of distribution algorithms 基于分布估计算法的认知智能体规则获取
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-11 DOI: 10.1504/IJKESDP.2010.035905
T. Nishimura, H. Handa
{"title":"Rule acquisition for cognitive agents by using estimation of distribution algorithms","authors":"T. Nishimura, H. Handa","doi":"10.1504/IJKESDP.2010.035905","DOIUrl":"https://doi.org/10.1504/IJKESDP.2010.035905","url":null,"abstract":"Cognitive agents must be able to decide their actions based on their recognised states. In general, learning mechanisms are equipped for such agents in order to realise intelligent behaviours. In this paper, we propose a new estimation of distribution algorithms (EDAs) which can acquire effective rules for cognitive agents. Basic calculation procedure of the EDAs is that: 1) select better individuals; 2) estimate probabilistic models; 3) sample new individuals. In the proposed method, instead of the use of individuals, input-output records in episodes are directory used for estimating the probabilistic model by conditional random fields. Therefore, estimated probabilistic model can be regarded as policy so that new input-output records are generated by the interaction between the policy and environments. Computer simulations of probabilistic transition problems show the effectiveness of the proposed method.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132631977","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: 0
Portfolio selection problems with normal mixture distributions including fuzziness 含模糊的正态混合分布的投资组合选择问题
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2010.035904
T. Hasuike, H. Ishii
{"title":"Portfolio selection problems with normal mixture distributions including fuzziness","authors":"T. Hasuike, H. Ishii","doi":"10.1504/IJKESDP.2010.035904","DOIUrl":"https://doi.org/10.1504/IJKESDP.2010.035904","url":null,"abstract":"In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio models based on the stochastic approach, and there are some models considering both random and ambiguous conditions, particularly using fuzzy random or random fuzzy variables. However, the model including normal mixture distributions with fuzzy numbers has not been proposed yet. Our proposed problems are not well-defined problems due to randomness and fuzziness. Therefore, setting some criterions and introducing chance constraints, main problems are transformed into deterministic programming problems. Finally, we construct a solution method to obtain a global optimal solution of the problem.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123253574","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
Kernel methods for regression model based on variable selection 基于变量选择的回归模型核方法
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2009.021984
Seiichi Ikeda, Yoshiharu Sato
{"title":"Kernel methods for regression model based on variable selection","authors":"Seiichi Ikeda, Yoshiharu Sato","doi":"10.1504/IJKESDP.2009.021984","DOIUrl":"https://doi.org/10.1504/IJKESDP.2009.021984","url":null,"abstract":"The aim of this paper is to get a sufficiently smooth regression function using kernel method based on the concept of variable selection for regression model. It is essential point that the procedure does not contain the concept of the regularisation. The criterion of the variable selection is a simple AIC. On the other hand, Fisher's linear discriminant function (LDF) for two groups is known as the linear regression function which has dichotomous independent variable. Then kernel Fisher's LDF can be also discussed by the use of variable selection. In this paper, we show that the variable selection method for kernel linear models is also useful and simpler method than several regularisation methods.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121867324","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: 0
On decision-making with non-standard fuzzy subsets 非标准模糊子集下的决策问题
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2009.021980
R. Yager
{"title":"On decision-making with non-standard fuzzy subsets","authors":"R. Yager","doi":"10.1504/IJKESDP.2009.021980","DOIUrl":"https://doi.org/10.1504/IJKESDP.2009.021980","url":null,"abstract":"We describe the formal equivalence between interval valued and intuitionistic fuzzy subsets. We then discuss the role of fuzzy set methods in multi-criteria decision-making. We note that when an application involves non-standard, interval valued or intuitionistic fuzzy subsets, a problem arises in choosing a best alternative. This problem is a result of the fact that the membership grades of these non-standard fuzzy subsets are not completely ordered. Here, we introduce a method for evaluating alternatives in this situation.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128595635","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 computational algorithm for the risk assessment of developing acute coronary syndromes, using online analytical process methodology 一种基于在线分析过程方法的急性冠脉综合征风险评估计算算法
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2009.021986
Hara Kostakis, B. Boutsinas, D. Panagiotakos, L. Kounis
{"title":"A computational algorithm for the risk assessment of developing acute coronary syndromes, using online analytical process methodology","authors":"Hara Kostakis, B. Boutsinas, D. Panagiotakos, L. Kounis","doi":"10.1504/IJKESDP.2009.021986","DOIUrl":"https://doi.org/10.1504/IJKESDP.2009.021986","url":null,"abstract":"This paper investigates patterns in cardiovascular risk factors from a large population sample of cardiac patients and their matched controls. Various factors were taken into consideration and were used as inputs to effectively demonstrate online analytical process, OLAP methodology. OLAP is a new method that is used to explore the role of several risk factors in cardiovascular disease risk assessment. It equally serves as a means to extract knowledge from the investigated factors' levels. This paper discusses the application of OLAP-specific procedures in order to explore hidden pathways associated with risk factors among patients and controls. It does so, as the latter proves to be time consuming when classical statistical methods, in particular logistic regression are applied. Finally, this work builds on earlier findings, with odds ratios converging among the studies. The outcome of this work results in a more accurate risk assessment, as it takes into account variable-interaction.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123824962","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: 5
Constitution of Ms.PacMan player with critical-situation learning mechanism 《吃豆小姐》玩家的关键情境学习机制构成
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2010.035906
H. Handa
{"title":"Constitution of Ms.PacMan player with critical-situation learning mechanism","authors":"H. Handa","doi":"10.1504/IJKESDP.2010.035906","DOIUrl":"https://doi.org/10.1504/IJKESDP.2010.035906","url":null,"abstract":"We previously proposed evolutionary fuzzy systems\u0000of playing Ms.PacMan for the competitions. As a consequence\u0000of the evolution, reflective action rules such that\u0000PacMan tries to eat pills effectively until ghosts come close to PacMan are acquired. Such rules works well. However, sometimes it is too reflective so that PacMan go toward ghosts by herself in longer corridors. In this paper, a critical situation learning module is combined with the evolved fuzzy systems, i.e., reflective action module. The critical situation learning module\u0000is composed of Q-learning with CMAC. Location information\u0000of surrounding ghosts and the existence of power-pills are given to PacMan as state. This module punishes if PacMan is caught by ghosts. Therefore, this module learning which pairs of (state, action) cause her death. By using learnt Q-value, PacMan tries to survive much longer. Experimental results on Ms.PacMan elucidate the proposed method is promising since it can capture critical situations well. However, as a consequence of the large amount of memory required by CMAC, real time responses tend to be lost.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127259415","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: 15
Experimental analysis of eligibility traces strategies in temporal difference learning 时间差异学习中资格跟踪策略的实验分析
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2009.021982
Jinsong Leng, L. Jain, C. Fyfe
{"title":"Experimental analysis of eligibility traces strategies in temporal difference learning","authors":"Jinsong Leng, L. Jain, C. Fyfe","doi":"10.1504/IJKESDP.2009.021982","DOIUrl":"https://doi.org/10.1504/IJKESDP.2009.021982","url":null,"abstract":"Temporal difference (TD) learning is a model-free reinforcement learning technique, which adopts an infinite horizon discount model and uses an incremental learning technique for dynamic programming. The state value function is updated in terms of sample episodes. Utilising eligibility traces is a key mechanism in enhancing the rate of convergence. TD(λ) represents the use of eligibility traces by introducing the parameter λ. However, the underlying mechanism of eligibility traces with an approximation function has not been well understood, either from theoretical point of view or from practical point of view. The TD(λ) method has been proved to be convergent with local tabular state representation. Unfortunately, proving convergence of TD(λ) with function approximation is still an important open theoretical question. This paper aims to investigate the convergence and the effects of different eligibility traces. In this paper, we adopt Sarsa(λ) learning control algorithm with a large, stochastic and dynamic simulation environment called SoccerBots. The state value function is represented by a linear approximation function known as tile coding. The performance metrics generated from the simulation system can be used to analyse the mechanism of eligibility traces.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126042051","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
Similarity measures for binary and numerical data: a survey 二进制和数值数据的相似性度量:一项调查
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 2008-12-01 DOI: 10.1504/IJKESDP.2009.021985
Marie-Jeanne Lesot, M. Rifqi, H. Benhadda
{"title":"Similarity measures for binary and numerical data: a survey","authors":"Marie-Jeanne Lesot, M. Rifqi, H. Benhadda","doi":"10.1504/IJKESDP.2009.021985","DOIUrl":"https://doi.org/10.1504/IJKESDP.2009.021985","url":null,"abstract":"Similarity measures aim at quantifying the extent to which objects resemble each other. Many techniques in data mining, data analysis or information retrieval require a similarity measure, and selecting an appropriate measure for a given problem is a difficult task. In this paper, the diverse forms similarity measures can take are examined, as well as their relationships and respective properties. Their semantic differences are highlighted and numerical tools to quantify these differences are proposed, considering several points of view and including global and local comparisons, order-based and value-based comparisons, and mathematical properties such as derivability. The paper studies similarity measures for two types of data: binary and numerical data, i.e., set data represented by the presence or absence of characteristics and data represented by real vectors.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128894283","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: 155
A crowdsourced system for user studies in information extraction 用户研究信息提取的众包系统
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 1900-01-01 DOI: 10.1504/IJKESDP.2017.10010607
Z. Khojasteh-Ghamari
{"title":"A crowdsourced system for user studies in information extraction","authors":"Z. Khojasteh-Ghamari","doi":"10.1504/IJKESDP.2017.10010607","DOIUrl":"https://doi.org/10.1504/IJKESDP.2017.10010607","url":null,"abstract":"In this paper, from an entity linking (EL) system, we take a set of tweets, where some subsequence of words is annotated with possible meaning/entities and these entities are linked with several Wikipedia pages. We propose a model using crowdsourcing to disambiguate and decide about the accurate Wikipedia page that must be linked with a definite word/spot. We discuss about importance of crowdsourcing and compare different crowdsourcing systems and at the end, introduce crowdflower. We discuss about the crowdflower features in particular. Finally, we analyse output reports of the crowdflower and present a novel approach to select the reliable results. In summary, our observations show that reliable results have a confidence rate over 0.5.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"12 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120917399","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: 0
Educational data mining: a case study for predicting dropout-prone students 教育数据挖掘:预测易辍学学生的案例研究
Int. J. Knowl. Eng. Soft Data Paradigms Pub Date : 1900-01-01 DOI: 10.1504/IJKESDP.2009.022718
S. Kotsiantis
{"title":"Educational data mining: a case study for predicting dropout-prone students","authors":"S. Kotsiantis","doi":"10.1504/IJKESDP.2009.022718","DOIUrl":"https://doi.org/10.1504/IJKESDP.2009.022718","url":null,"abstract":"Student dropout occurs quite often in universities providing distance education and the dropout rates are definitely higher than those in conventional universities. Limiting dropout is essential in university-level distance learning and therefore the ability to predict students' dropout could be useful in a great number of different ways. Generally, data sets from this domain exhibit skewed class distributions in which most cases are allotted to the normal class (students that continue their studies) and fewer cases to the dropout class, the most interesting class. A classifier induced from an imbalanced data set has, typically, a low error rate for the majority class and an unacceptable error rate for the minority class. This paper firstly provides a systematic study on the various methodologies that have tried to handle this problem. Finally, it presents an experimental study of these methodologies with a proposed local cost sensitive technique and it concludes that such a framework can be a more effective solution to the problem.","PeriodicalId":347123,"journal":{"name":"Int. J. Knowl. Eng. Soft Data Paradigms","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127337826","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: 61
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