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Fourth International Conference on Hybrid Intelligent Systems (HIS'04)最新文献

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Comparison of local search implementation schemes in hybrid evolutionary multiobjective optimization algorithms 混合进化多目标优化算法中局部搜索实现方案的比较
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.32
H. Ishibuchi, Kaname Narukawa
{"title":"Comparison of local search implementation schemes in hybrid evolutionary multiobjective optimization algorithms","authors":"H. Ishibuchi, Kaname Narukawa","doi":"10.1109/ICHIS.2004.32","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.32","url":null,"abstract":"We compare two implementation schemes of local search in hybrid evolutionary multiobjective optimization algorithms. One is based on the weighted sum of multiple objectives, and the other is based on Pareto dominance. These two implementation schemes are compared with each other through computational experiments on a knapsack problem and a flowshop scheduling problem. We also examine a simple modification of the weighted sum-based scheme.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127387738","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
Using association rules for completing missing data 使用关联规则来完成缺失的数据
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.91
Chih-Hung Wu, Chian-Huei Wun, H. Chou
{"title":"Using association rules for completing missing data","authors":"Chih-Hung Wu, Chian-Huei Wun, H. Chou","doi":"10.1109/ICHIS.2004.91","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.91","url":null,"abstract":"We present in this paper a new method for completing missing data using the concept of association rules. The basic idea is that association rules describe the dependency relationships among data entries in a dataset where all data, including the missing ones, should hold the similar relationships. For a missing datum, we guess its possible value according to related association rules. A new completing procedure and a new evaluation function are developed and presented. The evaluation function is scored according to the support, confidence, and lift of association rules, which reasonably reflects the dependency relationships among existing and missing data. Experimental results show that our method is feasible in completing some incomplete datasets.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126360269","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: 56
An intelligent model for reconstruction of stance time from faulty gait recording 基于错误步态记录的站立时间重建智能模型
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.24
J. Kamruzzaman, R. Begg
{"title":"An intelligent model for reconstruction of stance time from faulty gait recording","authors":"J. Kamruzzaman, R. Begg","doi":"10.1109/ICHIS.2004.24","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.24","url":null,"abstract":"In an erroneous footfall ground-reaction force-time recording, which may occur for people with disabilities or frail elderly individuals, the stance time (ST) can be either corrupted or missing. Previous methods to estimate missing ST require force-time data from multiple force platforms and are affected by inter-step variability. This paper presents a model based on support vector machine (SVM) that is capable of estimating the missing ST from the available vertical force-timing characteristics with significantly high accuracy. The model was built using features taken from a data set of 466 sample trials of 27 subjects. A test on 40 sample trials drawn from all the subjects revealed an average prediction accuracy of 96.63% (/spl plusmn/2.89%). In one-fourth of the test trials, the prediction error was within 1.0%. The model achieves considerable improvement over an artificial neural network based model built and tested on the same data set. The effect of kernel junction parameters and /spl epsiv/-insensitive loss function on prediction error is also analysed and presented.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129306118","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
Classification ensembles for shaft test data: empirical evaluation 矿井试验数据的分类组合:经验评价
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.31
Kyungmi Lee, V. Estivill-Castro
{"title":"Classification ensembles for shaft test data: empirical evaluation","authors":"Kyungmi Lee, V. Estivill-Castro","doi":"10.1109/ICHIS.2004.31","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.31","url":null,"abstract":"A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for nondestructive testing and equipment maintenance. Research has focused on selecting features of physical significance or exploring classifier like artificial neural networks and support vector machines. This paper confirms the observation that there seems to be uncorrelated errors among the variants explored in the past, and therefore an ensemble of classifiers is to achieve better discrimination accuracy. We explore the diverse possibilities of heterogeneous and homogeneous ensembles, combination techniques, feature extraction methods and classifiers types and determine guidelines for heterogeneous combinations that result in superior performance.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123860350","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
An attitude based cooperative negotiation model 基于态度的合作协商模型
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.17
M. Goyal
{"title":"An attitude based cooperative negotiation model","authors":"M. Goyal","doi":"10.1109/ICHIS.2004.17","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.17","url":null,"abstract":"In multiagent setting agent teams often encounter conflicts in agents' plans and actions. This paper presents a cooperative negotiation model (ABCON) that allows agents in a team to appropriately negotiate various options in a hostile and dynamic fire world. It shows that negotiations explore the attitudes and behaviors that help agents to manage conflict constructively. It says that cooperative negotiation is guided by the agents' dynamic assessment of alternative actions given the different scenario conditions.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121441585","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
Improving a Pittsburgh learnt fuzzy rule base using feature subset selection 利用特征子集选择改进匹兹堡学习模糊规则库
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.61
P. Castro, D. Santoro, H. Camargo, M. C. Nicoletti
{"title":"Improving a Pittsburgh learnt fuzzy rule base using feature subset selection","authors":"P. Castro, D. Santoro, H. Camargo, M. C. Nicoletti","doi":"10.1109/ICHIS.2004.61","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.61","url":null,"abstract":"This paper investigates the problem of feature subset selection as a preprocessing step to a method which learns fuzzy rule bases using genetic algorithm (GA) implementing the Pittsburgh approach. Four feature subset selection methods are investigated in the context of learning fuzzy rule bases. Two of them are filter methods namely, the Relief-E and the C-Focus. The other two are wrapper methods using GA as their search process; one implements the instance-based method 1-NN and the other, the constructive neural network algorithm DistAI. Results of the experiments conducted in three domains are presented and discussed; they show that methods which learn fuzzy rule bases can benefit from feature subset selection methods.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127379708","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
An efficient algorithm for computing the fitness function of a hydrophobic-hydrophilic model 一种计算亲疏水模型适应度函数的有效算法
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.19
T. Hoque, M. Chetty, L. Dooley
{"title":"An efficient algorithm for computing the fitness function of a hydrophobic-hydrophilic model","authors":"T. Hoque, M. Chetty, L. Dooley","doi":"10.1109/ICHIS.2004.19","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.19","url":null,"abstract":"The protein folding problem is a minimization problem in which the energy function is often regarded as the fitness function. There are several models for protein folding prediction including the hydrophobic-hydrophilic (HP) model. Though this model is an elementary one, it is widely used as a test-bed for faster execution of new algorithms. Fitness computation is one of the major computational parts of the HP model. This paper proposes an efficient search (ES) approach for computing the fitness value requiring only O(n) complexity in contrast to the full search (FS) approach that requires O(n/sup 2/) complexity. The efficiency of the proposed ES approach results due to its utilization of some inherent properties of the HP model. The ES approach represents residues in a Cartesian coordinate framework and then uses relative distance and coordinate polarity to reduce complexity.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125113791","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: 4
Margin-based active learning and background knowledge in text mining 文本挖掘中基于边缘的主动学习和背景知识
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.70
Catarina Silva, B. Ribeiro
{"title":"Margin-based active learning and background knowledge in text mining","authors":"Catarina Silva, B. Ribeiro","doi":"10.1109/ICHIS.2004.70","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.70","url":null,"abstract":"Text mining, also known as intelligent text analysis, text data mining or knowledge-discovery in text, refers generally to the process of extracting interesting and nontrivial information and knowledge from text. One of the main problems with text mining and classification systems is the lack of labeled data, as well as the cost of labeling unlabeled data (Kiritchenko and Matwin 2001). Thus, there is a growing interest in exploring the use of unlabeled data as a way to improve classification performance in text classification. The ready availability of this kind of data in most applications makes it an appealing source of information. In this work we evaluate the benefits of introducing unlabeled data in a support vector machine automatic text classifier. We further evaluate the possibility of learning actively and propose a method for choosing the samples to be learned.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123714530","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: 10
Learning diagnosis profiles through semi-supervised gradient descent of hidden Markov models 利用隐马尔可夫模型的半监督梯度下降学习诊断轮廓
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.69
L. Jeanpierre, F. Charpillet
{"title":"Learning diagnosis profiles through semi-supervised gradient descent of hidden Markov models","authors":"L. Jeanpierre, F. Charpillet","doi":"10.1109/ICHIS.2004.69","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.69","url":null,"abstract":"In this paper, we consider the problem of adapting the model of a diagnosis-helping module, which interacts with human experts. The approach consists of enforcing strong semantics in the model, so that this interaction may be as intuitive as possible. When learning the model, the problem consists in respecting these semantics while learning with few data. We addressed this problem through a semisupervised gradient descent algorithm applied to partially observable Markov models with fuzzy observations. This method optimizes several criteria at once, guiding the search to a compromise between the expert's directives and objective evaluations. This method has been successfully applied to a tele-medicine application where the system monitors dialyzed patients and alerts nephrologists.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123558485","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
Mobile agent-based execution modelling 基于移动代理的执行建模
Fourth International Conference on Hybrid Intelligent Systems (HIS'04) Pub Date : 2004-12-05 DOI: 10.1109/ICHIS.2004.71
W. Qu, Hong Shen
{"title":"Mobile agent-based execution modelling","authors":"W. Qu, Hong Shen","doi":"10.1109/ICHIS.2004.71","DOIUrl":"https://doi.org/10.1109/ICHIS.2004.71","url":null,"abstract":"Mobile agent-based technology has attracted considerable interest in both academia and industry in recent years. Fault tolerance is of paramount importance to integrate mobile agent-based technology into today's e-society. In this paper, we propose a mobile agent-based fault-tolerant execution model and analyze the stochastic nature of mobile agents, including the transaction time from node to node, the life expectancy of mobile agents, and the population distribution of mobile agents. Our approach exploits a new way to design fault-tolerant mobile agent-driven system. Our analysis provides useful tools for effectively estimating the performance of agent-driven systems.","PeriodicalId":274073,"journal":{"name":"Fourth International Conference on Hybrid Intelligent Systems (HIS'04)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129636898","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
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