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Proceedings. International Conference on Machine Learning and Cybernetics最新文献

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Plenary Talk: Digital-Twin Fluid Engineering 全体会议报告:数字孪生流体工程
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2021-01-01 DOI: 10.1109/CYBCONF51991.2021.9464131
S. Obayashi
{"title":"Plenary Talk: Digital-Twin Fluid Engineering","authors":"S. Obayashi","doi":"10.1109/CYBCONF51991.2021.9464131","DOIUrl":"https://doi.org/10.1109/CYBCONF51991.2021.9464131","url":null,"abstract":"","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"22 1","pages":"v"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75940761","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
APPLYING MACHINE LEARNING TECHNIQUES IN DETECTING BACTERIAL VAGINOSIS. 应用机器学习技术检测细菌性阴道病。
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2014-07-03 DOI: 10.1109/ICMLC.2014.7009123
Yolanda S Baker, Rajeev Agrawal, James A Foster, Daniel Beck, Gerry Dozier
{"title":"APPLYING MACHINE LEARNING TECHNIQUES IN DETECTING BACTERIAL VAGINOSIS.","authors":"Yolanda S Baker, Rajeev Agrawal, James A Foster, Daniel Beck, Gerry Dozier","doi":"10.1109/ICMLC.2014.7009123","DOIUrl":"10.1109/ICMLC.2014.7009123","url":null,"abstract":"<p><p>There are several diseases which arise because of changes in the microbial communities in the body. Scientists continue to conduct research in a quest to find the catalysts that provoke these changes in the naturally occurring microbiota. Bacterial Vaginosis (BV) is a disease that fits the above criteria. BV afflicts approximately 29% of women in child bearing age. Unfortunately, its causes are unknown. This paper seeks to uncover the most important features for diagnosis and in turn employ classification algorithms on those features. In order to fulfill our purpose, we conducted two experiments on the data. We isolated the clinical and medical features from the full set of raw data, we compared the accuracy, precision, recall and F-measure and time elapsed for each feature selection and classification grouping. We noticed that classification results were as good or better after performing feature selection although there was a wide range in the number of features produced from the feature selection process. After comparing the experiments, the algorithms performed best on the medical dataset.</p>","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"2014 ","pages":"241-246"},"PeriodicalIF":0.0,"publicationDate":"2014-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICMLC.2014.7009123","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33254449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
OPTICAL COHERENCE TOMOGRAPHY HEART TUBE IMAGE DENOISING BASED ON CONTOURLET TRANSFORM. 基于contourlet变换的光学相干断层心管图像去噪。
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2012-01-01 DOI: 10.1109/ICMLC.2012.6359515
Qing Guo, Shuifa Sun, Fangmin Dong, Bruce Z Gao, Rui Wang
{"title":"OPTICAL COHERENCE TOMOGRAPHY HEART TUBE IMAGE DENOISING BASED ON CONTOURLET TRANSFORM.","authors":"Qing Guo,&nbsp;Shuifa Sun,&nbsp;Fangmin Dong,&nbsp;Bruce Z Gao,&nbsp;Rui Wang","doi":"10.1109/ICMLC.2012.6359515","DOIUrl":"https://doi.org/10.1109/ICMLC.2012.6359515","url":null,"abstract":"<p><p>Optical Coherence Tomography(OCT) gradually becomes a very important imaging technology in the Biomedical field for its noninvasive, nondestructive and real-time properties. However, the interpretation and application of the OCT images are limited by the ubiquitous noise. In this paper, a denoising algorithm based on contourlet transform for the OCT heart tube image is proposed. A bivariate function is constructed to model the joint probability density function (pdf) of the coefficient and its cousin in contourlet domain. A bivariate shrinkage function is deduced to denoise the image by the maximum a posteriori (MAP) estimation. Three metrics, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and equivalent number of look (ENL), are used to evaluate the denoised image using the proposed algorithm. The results show that the signal-to-noise ratio is improved while the edges of object are preserved by the proposed algorithm. Systemic comparisons with other conventional algorithms, such as mean filter, median filter, RKT filter, Lee filter, as well as bivariate shrinkage function for wavelet-based algorithm are conducted. The advantage of the proposed algorithm over these methods is illustrated.</p>","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"3 ","pages":"1139-1144"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICMLC.2012.6359515","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32786818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
The multistage support vector machine 多级支持向量机
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2003-02-19 DOI: 10.1109/ICMLC.2002.1175353
Hong-Jie Xing, Xizhao Wang, Qiang He, Hong-Wei Yang
{"title":"The multistage support vector machine","authors":"Hong-Jie Xing, Xizhao Wang, Qiang He, Hong-Wei Yang","doi":"10.1109/ICMLC.2002.1175353","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175353","url":null,"abstract":"The support vector machine (SVM) was originally designed for binary classification. How to effectively extend it for multiclass classification is still an ongoing research issue. There exist several methods to construct a multiclass classifier by combing several binary classifiers, such as \"one-against-one\", \"one-against-all\" and directed acyclic graph SVM. In the paper we give a new method to combine several binary classifiers other than the above three methods. Our idea is to cluster the samples into two classes, and then classify them. Based on this idea, we present the concept of multistage support vector machine. A comparison between our proposed method with the other three methods is conducted on the Iris database. Comparative results show that our proposed method has a better performance than the other three methods.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"406 1","pages":"1815-1818 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2003-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88143082","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: 11
Improved feature selection approach TFIDF in text mining 文本挖掘中改进的特征选择方法TFIDF
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174522
L. Jing, Houkuan Huang, Hong-bo Shi
{"title":"Improved feature selection approach TFIDF in text mining","authors":"L. Jing, Houkuan Huang, Hong-bo Shi","doi":"10.1109/ICMLC.2002.1174522","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174522","url":null,"abstract":"This paper describes the feature selection method TFIDF (term frequency, inverse document frequency). With it, we process the data resource and set up the vector space model in order to provide a convenient data structure for text categorization. We calculate the precision of this method with the help of categorization results. According to the empirical results, we analyze its advantages and disadvantages and present a new TFIDF-based feature selection approach to improve its accuracy.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"87 1","pages":"944-946 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74032291","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: 207
New intelligent decision support systems based on information mining 基于信息挖掘的新型智能决策支持系统
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174526
Xin-Zhong Chen, Yan Li, Bingru Yang
{"title":"New intelligent decision support systems based on information mining","authors":"Xin-Zhong Chen, Yan Li, Bingru Yang","doi":"10.1109/ICMLC.2002.1174526","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174526","url":null,"abstract":"In this paper we introduce the information mining technology, in which the main research contents are structured data and complex structured data mining. Taking information mining as a core concept, this paper combines the seven-bases (model base, integrated knowledge base, database, method base, text base, web log base and multimedia base) with the double-networks (Internet and intranet), and puts forward a new intelligent decision support system based on the information mining (IDSSIM). IDSSIM can improve the IDSS's ability of mining and processing semi-structured and unstructured data, in order that the decision support system adapts to the multiplicity and dynamicity of the present information source and provides more abundant decision support information.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"18 1","pages":"962-967 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75238062","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 algorithm using predictive control theory for automatic drive 基于预测控制理论的自动驾驶算法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167481
Jie Liu, Hai Lan
{"title":"An algorithm using predictive control theory for automatic drive","authors":"Jie Liu, Hai Lan","doi":"10.1109/ICMLC.2002.1167481","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167481","url":null,"abstract":"In an intelligent transportation system (ITS), automatic drive is a popular topic. This paper describes an algorithm using the predictive control theory based on a vehicle systematic dynamical model described by Hatwal et al. Under our simulation environment, only one automatic car runs on the virtual roads. The car can change its velocity and other parameters to satisfy the need of safe automatic drive while driving according to the circumstance of the fore road. The simulating results show that this algorithm was effective and the status of the moving car was acceptable.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"1 5 1","pages":"1601-1604 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75419358","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: 3
A fast algorithm of mining association rules in network management 网络管理中关联规则的快速挖掘算法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174516
Peiqi Liu, Zeng-zhi Li, Yu-Xi Chen, Yinliang Zhao
{"title":"A fast algorithm of mining association rules in network management","authors":"Peiqi Liu, Zeng-zhi Li, Yu-Xi Chen, Yinliang Zhao","doi":"10.1109/ICMLC.2002.1174516","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174516","url":null,"abstract":"This paper presents the present study and research of knowledge discovery in database, points out the shortcoming of the classical a priori algorithm. Our research proposes the AprioriNEW algorithm based on reducing database, and analyses and appraises this algorithm in progress. The algorithm has been applied to mine the trap information in the network management.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"4 1","pages":"915-918 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75607392","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
The test-bed of multi-intelligent control algorithms based on DSP 基于DSP的多种智能控制算法的试验台
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174524
Rong-Bao Chen, M. Fei, Honglian Deng, Yun-Zhi Huang
{"title":"The test-bed of multi-intelligent control algorithms based on DSP","authors":"Rong-Bao Chen, M. Fei, Honglian Deng, Yun-Zhi Huang","doi":"10.1109/ICMLC.2002.1174524","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174524","url":null,"abstract":"This paper focuses on the position control and contour error of a motion control system. A test-bed of the control algorithms based on DSP is developed. In order to analyze and simulate the test-bed, many algorithms such as the conventional PID algorithm, fuzzy adaptive PID algorithm, ANN PID algorithm and fuzzy neural network control algorithm, are adopted. A valuable research for the real-time object control and system performance evaluation was carried out.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"43 1","pages":"952-957 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74560839","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
A universal learning controller for a class of nonlinear system 一类非线性系统的通用学习控制器
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167503
Hua-guang Zhang, Cheng-Xian Xie, T. Zhang
{"title":"A universal learning controller for a class of nonlinear system","authors":"Hua-guang Zhang, Cheng-Xian Xie, T. Zhang","doi":"10.1109/ICMLC.2002.1167503","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167503","url":null,"abstract":"A novel universal adaptive learning control approach based on Fourier series is proposed for a class of general time-varying nonlinear systems. The closed-loop system. consists of two loops. One loop is the inner loop, in which the feedback control actions are up-dated at each sampling period. The inner loop is used to stabilize the open-loop system and provide robustness. The other loop is an outer loop, in which the Fourier series-based learning control actions are up-dated at each pass. The outer loop is designed to overcome unmodeled dynamics. The global stability condition of the closed-loop nonlinear control system has been given. Numerical simulation is carried out to illustrate the effectiveness of the proposed controller.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"47 1","pages":"1691-1696 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78704041","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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