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

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Probability limit property for energy function to feed-forward neural networks with noise 带噪声前馈神经网络能量函数的概率极限性质
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176695
Cong Jin
{"title":"Probability limit property for energy function to feed-forward neural networks with noise","authors":"Cong Jin","doi":"10.1109/ICMLC.2002.1176695","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176695","url":null,"abstract":"A probability limit property is proposed for the weight vectors W of feed-forward neural networks when both the input data and output data contain noise or when only the output data contains noise. By theoretical analysis of the energy function of a feed-forward neural network, the paper points out that a least square energy function isn't a good choice. The result is good enough for future research.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"6 1","pages":"1-3 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88894735","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
Weak learning algorithm for multi-label multiclass text categorization 多标签多类文本分类的弱学习算法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174511
Yan-Yong Xu, Xian-zhong Zhou, Zhongyang Guo
{"title":"Weak learning algorithm for multi-label multiclass text categorization","authors":"Yan-Yong Xu, Xian-zhong Zhou, Zhongyang Guo","doi":"10.1109/ICMLC.2002.1174511","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174511","url":null,"abstract":"To handle the multi-label multiclass text categorization, a weak learning algorithm (WLA) is presented. The main idea of WLA is to find a highly accurate classification rule by combining many weak hypotheses, each of which may be only moderately accurate. We used a separate procedure, called the weak learner, to compute the weak hypotheses, and found a set of weak hypotheses by calling the weak learner repeatedly in a series of rounds. These weak hypotheses were then combined into a single rule called the final hypothesis, and the final hypothesis ranked the possible labels for a given document with the hope that the appropriate labels would appear at the top of the ranking. Using the three designed evaluation measures - ordinary-error, average-coverage and average-precision - our experiments show that the performance of WLA is generally better than the other algorithms on the same dataset.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"168 1","pages":"890-894 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80561311","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 hybrid fuzzy current regulator for three-phase voltage source PWM-inverter 三相电压源pwm逆变器的混合模糊电流调节器
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174517
Guang-Da Chen, W. Cai, Tian-Fu Cai, Hai-Feng Liu
{"title":"A hybrid fuzzy current regulator for three-phase voltage source PWM-inverter","authors":"Guang-Da Chen, W. Cai, Tian-Fu Cai, Hai-Feng Liu","doi":"10.1109/ICMLC.2002.1174517","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174517","url":null,"abstract":"This paper presents a fuzzy logic strategy for the current control of a three-phase voltage source power PWM-inverter. The base of this regulator is a direct digital predictive loop which has a very good dynamic performance, but the steady state performance will heavily depend on the accuracy of the model structure and plant's parameters. To reduce the steady errors and compensate the system uncertainties, a feedforward control loop and a fuzzy logic algorithm are introduced. The direct digital predictive loop with the feedforward loop, which can be seen as a hybrid current regulator, generates the command voltage based on the nominal system conditions, guarantees the system with a very fast dynamic response and a smaller system error. The fuzzy logic algorithm, by measuring the amplitude and phase angle of the system error, generates a modifying signal to correct the gains of the direct digital predictive loop and the feedforward loop. When the difference between the reference and actual signals is larger than a given threshold, therefore it minimizes the effects of system uncertainties. Simulation results are presented to verify the effectiveness of the current regulation algorithm.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"106 1","pages":"919-923 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80742962","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
Research of discovery feature sub-space model (DFSSM) based on complex type data 基于复杂类型数据的发现特征子空间模型研究
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1176751
Bingru Yang, Jing Tang
{"title":"Research of discovery feature sub-space model (DFSSM) based on complex type data","authors":"Bingru Yang, Jing Tang","doi":"10.1109/ICMLC.2002.1176751","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1176751","url":null,"abstract":"Discusses the macroscopic and some other important problems in the field of KDD. First, it is very difficult to describe the complex type data by a general knowledge representation method. So we use the pattern which is defined as the vector in Hilbert space to represent the characteristic of complex type data. It also can be used to describe the rule of knowledge discovery. Secondly, we construct the general structure model based on complex type data-DFSSM (discovery feature sub-space model) followed by research on the inner mechanism of a knowledge discovery system. Finally, we prove the practicability and validity of this general structure model i.e. DFSSM, which can guide the knowledge discovery of textual data and image data (meteorologic nephogram data).","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"65 1","pages":"256-260 vol.1"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83224440","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
The intelligent strategy of migrating data based on the network-attached disk array storage system 基于网络挂载磁盘阵列存储系统的数据智能迁移策略
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174407
Tao Wu, D. Feng, Jiangling Zhang
{"title":"The intelligent strategy of migrating data based on the network-attached disk array storage system","authors":"Tao Wu, D. Feng, Jiangling Zhang","doi":"10.1109/ICMLC.2002.1174407","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174407","url":null,"abstract":"How to provide high-quality service of hot data has become more and more important in all network solutions. In this paper, basing on RAID connected directly in the network, we put forward a strategy of migrating data automatically, which can enlarge the I/O ability of the single server several times. In the following text, we will explain in detail the principle, process, and layer in which the strategy is turned into reality. At last, we make analysis of the serving efficiency in this case.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"46 1","pages":"606-610 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83411878","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
Adding the Web page quality factors into the hyperlinks 将网页质量因素添加到超链接中
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174521
Yue-Ming Liu, Bin Wang, Guoqiang Li
{"title":"Adding the Web page quality factors into the hyperlinks","authors":"Yue-Ming Liu, Bin Wang, Guoqiang Li","doi":"10.1109/ICMLC.2002.1174521","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174521","url":null,"abstract":"The hyperlink structure is an important resource in Web information retrieval (IR), especially for the ranking algorithm in search engines. This paper investigates the current main researches for the hyperlink structure in Web IR, proposes our own ideas for the hyperlink analysis to expand the HITS algorithm, adds the Web page quality factors into the hyperlink, gives the expanding algorithm and proves the efficiency and convergence of our algorithm.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"37 1","pages":"939-943 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88622244","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
A short note on fuzzy partition 关于模糊划分的一个简短说明
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167447
Jian Yu, Yong-Min Mu, Hong-bo Shi
{"title":"A short note on fuzzy partition","authors":"Jian Yu, Yong-Min Mu, Hong-bo Shi","doi":"10.1109/ICMLC.2002.1167447","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167447","url":null,"abstract":"In this paper, we propose a new definition of fuzzy partition out of intuition. Its properties are well studied. According to the new definition, we can prove that the first term of minimax (MM) decomposition of any fuzzy partition can be a nondegenerate hard partition.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"53 1","pages":"1451-1454 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89346370","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
Mining association rule oriented data cube and its application 面向关联规则的数据立方体挖掘及其应用
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1174439
Hong Shi, Ji-Fu Zhang, Lian Zheng
{"title":"Mining association rule oriented data cube and its application","authors":"Hong Shi, Ji-Fu Zhang, Lian Zheng","doi":"10.1109/ICMLC.2002.1174439","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1174439","url":null,"abstract":"The data warehouses oriented data mining is one of the hot studies in the data mining field, which can improve the mining efficiency, and simplify the mining process. At present some effective platforms for mining have been proposed, but those are versatile and are not aimed at the characteristic of a particular mining task, and thus restrict the mining efficiency. For the question of mining association rules, we present a model of a mining association rule oriented data cube through analyzing the characteristic of the mining association rule and OLAP. The model has been proved correct and feasible by analyzing an application example.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"71 3 1","pages":"705-709 vol.2"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83702328","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
Construction of orthogonal multiwavelet 正交多小波的构造
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1175381
Jianwei Yang, Y.Y. Tang, Zheng-xing Cheng
{"title":"Construction of orthogonal multiwavelet","authors":"Jianwei Yang, Y.Y. Tang, Zheng-xing Cheng","doi":"10.1109/ICMLC.2002.1175381","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1175381","url":null,"abstract":"For compactly supported m-band (m/spl ges/2, m/spl isin/Z) orthonormal multiwavelet systems, an algorithm to construct compactly supported orthogonal multiwavelets from the associated multi-scaling functions is presented in this paper. This method is simple for computation, does not need to solve a set of nonlinear equations in unknown matrices or factorize a polynomial matrix into a special form, and is not restrained by the multiplicity of multiwavelets. It only needs to solve some linear equations and compute some matrices. As an example, the GHM multiwavelets are derived via this method.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"76 1","pages":"1968-1972 vol.4"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90518048","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 for video monitoring under a slow moving background 慢速背景下的视频监控算法
Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI: 10.1109/ICMLC.2002.1167486
Jiang-bin Zheng, D. Feng, Yan-ning Zhang, W. Siu, Rong-chun Zhao
{"title":"An algorithm for video monitoring under a slow moving background","authors":"Jiang-bin Zheng, D. Feng, Yan-ning Zhang, W. Siu, Rong-chun Zhao","doi":"10.1109/ICMLC.2002.1167486","DOIUrl":"https://doi.org/10.1109/ICMLC.2002.1167486","url":null,"abstract":"In this paper, a video monitoring algorithm under a slow moving background is proposed. An affine transformation model is used to describe the background image movement and two methods are given to find the affine transformation model parameters. The affine transformation is used to check the matching performance of the two frames and subsequently a subtraction operation based on block difference is performed for scene change detection. In order to finalize the detecting result, a series of image processing operations, including the adaptive threshold, morphological dilation and erosion operation, and region labeling have to be performed. Several experiments are given to show that the proposed algorithm is efficient.","PeriodicalId":90702,"journal":{"name":"Proceedings. International Conference on Machine Learning and Cybernetics","volume":"88 1","pages":"1626-1629 vol.3"},"PeriodicalIF":0.0,"publicationDate":"2002-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78155176","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
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