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2011 International Conference on Machine Learning and Cybernetics最新文献

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Applying particle swarm optimization to determine the bandwidth parameter in probability density estimation 应用粒子群算法确定概率密度估计中的带宽参数
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016868
Hai-Li Liang, Xian-Min Shen
{"title":"Applying particle swarm optimization to determine the bandwidth parameter in probability density estimation","authors":"Hai-Li Liang, Xian-Min Shen","doi":"10.1109/ICMLC.2011.6016868","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016868","url":null,"abstract":"The determination of bandwidth parameter is a critical factor for the performance of probability density estimation method. The advanced parameter selection methods, such as the bootstrap method, the least-squares cross-validation (LSCV) method and the biased cross-validation (BCV) method, always need the help of the brute-force search or exhaustive search to find the optimal bandwidth parameters. In this paper, we apply five particle swarm optimization (PSO) algorithms-standard PSO (SPSO), PSO with a constriction factor (PSOCF), Gaussian PSO (GPSO), Gaussian PSO with Gaussian jump (GPSOGJ) and Gaussian PSO with Cauchy jump (GPSOCJ)-to determine the optimal bandwidths. In order to experimentally validate the feasibility and effectiveness of selecting the optimal parameters by using PSO algorithms, we carry out some numerical simulations on four univariate artificial datasets: Uniform dataset, Normal dataset, Exponential dataset and Rayleigh dataset. The finally comparative results show that our strategies are well-performed and Gaussian PSO with jump methods can obtain the better estimations than other PSO algorithms.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127477739","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 property of reductions in Fuzzy Variable Precision Rough Set model 模糊变精度粗糙集模型的约简性质
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016730
Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou
{"title":"A property of reductions in Fuzzy Variable Precision Rough Set model","authors":"Eric C. C. Tsang, Suyun Zhao, Cai-Li Zhou","doi":"10.1109/ICMLC.2011.6016730","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016730","url":null,"abstract":"In this paper, we use strict mathematics reasoning to discover the relation between the threshold and reduction in Fuzzy Variable Precision Rough Sets (FVPRS), i.e., the reductions act as a nested structure with the monotonously increasing threshold. By using the nested structure of reductions, we could design algorithms to quickly find different reductions when a reduction is required. Here ‘different’ means the reductions obtained using different thresholds.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686017","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
The marketing chain in the mobile Internet era 移动互联网时代的营销链
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016917
Shao-Zhen Yang
{"title":"The marketing chain in the mobile Internet era","authors":"Shao-Zhen Yang","doi":"10.1109/ICMLC.2011.6016917","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016917","url":null,"abstract":"With the maturity and universal application of 3G technologies, Internet business models continue to penetrate the mobile Internet business model. Mobile Internet is gradually becoming the main trend. Mobile Internet Economy will profoundly change the mode of business survival, growth and development. How to quickly find the direction of marketing efforts at the mobile Internet era, and start business \"migration\" are very important. This article discusses the four key aspects of the marketing chain in the mobile Internet economy: cross-industry alliance in mobile Internet economy, enterprise resources integration based on information flow, different patterns of mobile e-commerce, the development of application-oriented mobile Interne platform. The combination of these four aspects will promote industry cooperation in upstream and downstream enterprises, drive the mobile Internet market growth and pull the entire industry ecosystem extension and development.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131265942","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: 9
Study on method for public traffic network optimization and adjustment based on cluster analysis 基于聚类分析的公共交通网络优化调整方法研究
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6017016
Dong-Mei Li, Bin Liu, Y. Qu
{"title":"Study on method for public traffic network optimization and adjustment based on cluster analysis","authors":"Dong-Mei Li, Bin Liu, Y. Qu","doi":"10.1109/ICMLC.2011.6017016","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6017016","url":null,"abstract":"In city transit planning, line network optimization is a good measure with low cost and high efficiency. The researches on line network optimization are important in all cities. The optimization method for public traffic line network is studied according to the feature of line network optimization and adjustment problem. The cluster indexes for bus network in traffic region and for bus line are established respectively. This paper proposes analyzing and evaluating the feature of the bus network and bus line by using cluster analysis method, which lays a foundation of the adjustment and optimization of bus network and bus line. The principle and method of optimization and adjustment of line network are proposed and applied successfully in practice.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"38 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128162932","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
Channel pattern noise based playback attack detection algorithm for speaker recognition 基于信道模式噪声的说话人识别重放攻击检测算法
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016982
Zhifeng Wang, G. Wei, Qianhua He
{"title":"Channel pattern noise based playback attack detection algorithm for speaker recognition","authors":"Zhifeng Wang, G. Wei, Qianhua He","doi":"10.1109/ICMLC.2011.6016982","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016982","url":null,"abstract":"This paper proposes a channel pattern noise based approach to guard speaker recognition system against playback attacks. For each recording under investigation, the channel pattern noise severs as a unique channel identification fingerprint. Denoising filter and statistical frames are applied to extract channel pattern noise, and 6 Legendre coefficients and 6 statistical features are extracted. SVM is used to train channel noise model to judge whether the input speech is an authentic or a playback recording. The experimental results indicate that, with the designed playback detector, the equal error rate of speaker recognition system is reduced by 30%.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134370744","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: 106
Data structures in memory of Mobile RFID reader 移动RFID阅读器内存中的数据结构
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016725
Zhi-Hong Lan, X. Lai, Jian Yu, Sheng-Li Lai
{"title":"Data structures in memory of Mobile RFID reader","authors":"Zhi-Hong Lan, X. Lai, Jian Yu, Sheng-Li Lai","doi":"10.1109/ICMLC.2011.6016725","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016725","url":null,"abstract":"In the 3G Mobile Internet application of RFID, it is necessary for tag data processing to be moved to readers. Due to hardware conditions of readers, it is imperative to have an effective arithmetic for data processing and data structure to improve real-time process capability of readers. Data processing features of Mobile RFID readers are analyzed and a special T-linked tree is put forward. On the basis of T tree, there is a doubly linked list structure added, which enables readers to maintain high efficiency at each stage of data processing in read cycles. In addition to T-link tree, a set of arithmetic for data processing with a special data structure is devised, which can enhance synchronous process ability of readers.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132130258","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
News story clustering using L-GEM based RBFNN 基于L-GEM的RBFNN的新闻故事聚类
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016747
Wing W. Y. Ng, Xin Ran, P. Chan, D. Yeung
{"title":"News story clustering using L-GEM based RBFNN","authors":"Wing W. Y. Ng, Xin Ran, P. Chan, D. Yeung","doi":"10.1109/ICMLC.2011.6016747","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016747","url":null,"abstract":"With the explosive growth of video resources on the Internet and Internet connected mobile devices, the needs of efficient video retrieval and video clustering are increasing. Video clustering is important because video resources on the Internet may be duplicate and highly similar. To reduce the use of bandwidth, users would like to fetch only one representative video resource instead of a number of highly similar or duplicated videos. In this paper, we first summarize current research development of video retrieval. Then, we propose a new video clustering method based on a Radial Basis Function Neural Network (RBFNN) trained via a minimization of the Localized Generalization Error (L-GEM). The L-GEM provides estimation on the generalization capability of the RBFNN which helps to cluster news video from different channels with higher accuracy. Experimental results show that the proposed method outperforms RBFNN trained without the L-GEM.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130304082","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 research on Chinese document clustering based on WEKA 基于WEKA的中文文档聚类研究
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016955
P. Han, Dongbo Wang, Qingwei Zhao
{"title":"The research on Chinese document clustering based on WEKA","authors":"P. Han, Dongbo Wang, Qingwei Zhao","doi":"10.1109/ICMLC.2011.6016955","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016955","url":null,"abstract":"This paper gives an experiment on Chinese document clustering based on WEKA. WEKA is an excellent open-source of data mining tool in abroad, but it is rarely used at home. We conducted the Chinese document clustering by K-means algorithm through adjusting the parameters in WEKA. Recall, precision and F-measure method are used to evaluate the experiment. We hope to provide a reference for researchers in this field.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133699595","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: 12
Research on Ontology building of product reviews in Chinese 中文产品评论本体构建研究
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016949
Neng Wen, Shengchun Ding, Ting Jiang
{"title":"Research on Ontology building of product reviews in Chinese","authors":"Neng Wen, Shengchun Ding, Ting Jiang","doi":"10.1109/ICMLC.2011.6016949","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016949","url":null,"abstract":"Product reviews as one type of semantic information can directly affect the decision made by customers. Ontology as the core technology of semantic web can transform the product review into information which can be automatically understandable by computers. In this paper, the method to build product reviews in Chinese Ontology is proposed. Product reviews about mobile phone are taken as a data source, the source of relevant concepts and the standard of concepts classification are discussed. In particular, the semantic relations (hierarchical and non-hierarchical relations) between classes are analyzed.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131607773","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
Neural network design based on isolated words 基于孤立词的神经网络设计
2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI: 10.1109/ICMLC.2011.6016773
Fan-Feng Zeng, Peng Shi
{"title":"Neural network design based on isolated words","authors":"Fan-Feng Zeng, Peng Shi","doi":"10.1109/ICMLC.2011.6016773","DOIUrl":"https://doi.org/10.1109/ICMLC.2011.6016773","url":null,"abstract":"The design of neural network model depends on the practical application of the system. This article describes the speech recognition and neural network knowledge, then propose a kind of design based on isolated word recognition. Through the neural network model can be quickly and accurately identify the input words.","PeriodicalId":228516,"journal":{"name":"2011 International Conference on Machine Learning and Cybernetics","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122698122","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
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