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检索条件"任意字段=4th International Conference on Machine Learning and Data Mining in Pattern Recognition"
3358 条 记 录,以下是3101-3110 订阅
排序:
An intelligent learning machine
An intelligent learning machine
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4th international conference on data mining
作者: Sayad, S Balke, ST Sayad, S Univ Toronto Toronto ON Canada
In this paper we present a new learning system, the "Intelligent learning machine" (ELM). We associate intelligence with the power to learn, forget, grow, contract, interact, and co-operate incrementally, on... 详细信息
来源: 评论
Using emerging patterns and decision trees in rare-class classification
Using emerging patterns and decision trees in rare-class cla...
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4th IEEE international conference on data mining
作者: Alhammady, H Ramamohanarao, K Univ Melbourne Dept Comp Sci & Software Engn Parkville Vic 3052 Australia
the problem of classifying rarely occurring cases is faced in many real life applications. the scarcity of the rare cases makes it difficult to classify them correctly using traditional classifiers. In this paper, we ... 详细信息
来源: 评论
Cost-guided class noise handling for effective cost-sensitive learning
Cost-guided class noise handling for effective cost-sensitiv...
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4th IEEE international conference on data mining
作者: Zhu, XQ Wu, XD Univ Vermont Dept Comp Sci Burlington VT 05405 USA
Recent research in machine learning, data mining and related areas has produced a wide variety of algorithms for cost-sensitive (CS) classification, where instead of maximizing the classification accuracy, minimizing ... 详细信息
来源: 评论
learning patterns through artificial contrasts with application to process control
Learning patterns through artificial contrasts with applicat...
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4th international conference on data mining
作者: Tuv, E Runger, G Intel Corp Anal & Control Technol Santa Clara CA 95051 USA
In manufacturing as well as other application areas there is a need to learn standard operating conditions in order to detect future changes or deviations. this is related to the even more general problem of detecting... 详细信息
来源: 评论
Convex hulls as an hypothesis language bias
Convex hulls as an hypothesis language bias
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4th international conference on data mining
作者: Newlands, DA Webb, GI Deakin Univ Geelong Vic 3217 Australia
Classification learning is dominated by systems which induce large numbers of small axis-orthogonal decision surfaces which biases such systems towards particular hypothesis types. However, there is reason to believe ... 详细信息
来源: 评论
Efficient feature selection for high-dimensional data using two-level filter
Efficient feature selection for high-dimensional data using ...
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Proceedings of 2004 international conference on machine learning and Cybernetics
作者: Li, Yun Wu, Zhong-Fu Liu, Jia-Min Tang, Yan-Yun Department of Computer ChongQing University ChongQing 400044 China College of Optics and Electronics ChongQing University ChongQing 400044 China China Light Indust. Mat. Co.Ltd. ChongQing Branch ChongQing 400060 China
Feature selection is a key problem to pattern recognition and machine learning, and it is difficult to get the optimal feature subset for its NP-hand. Currently, the dimensionality of feature set or instance set is ve... 详细信息
来源: 评论
Collecting and sharing bilingual spontaneous speech corpora: the chinfadial experiment  4
Collecting and sharing bilingual spontaneous speech corpora:...
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4th international conference on Language Resources and Evaluation, LREC 2004
作者: Fafiotte, Georges Boitet, Christian Seligman, Mark Zong, Chengqing 385 rue de la Bibliothèque Grenoble Cedex 9F-38041 France National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences P.O.Box 2728 Beijing100080 China
We describe here the three main platforms in the ERIM family of Web-based environments for human interpreting, two of them in more details, ERIM-Interp and ERIM-Collect, then ERIM-Aid. Each platform supports an aspect... 详细信息
来源: 评论
Relevant linear feature extraction using side-information and unlabeled data
Relevant linear feature extraction using side-information an...
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international conference on pattern recognition
作者: Fei Wu Yonglei Zhou Changshui Zhang Department of Automation Tsinghua University Beijing China
"learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant linear feature extraction. It efficie... 详细信息
来源: 评论
Knowledge discovery in hepatitis C virus transgenic mice
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17th international conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004
作者: Famili, A. Fazel Ouyang, Junjun Kryworuchko, Marko Alvarez-Maya, Ikuri Smith, Brandon Diaz-Mitoma, Francisco Institute for Information Technology Bldg. M-50 NRC OttawaONK1A0R6 Canada Children’s Hospital of Eastern Ontario 401 Smyth Rd OttawaONK1H 8L1 Canada Institute for Biological Sciences Bldg. M-54 NRC OttawaONK1A0R6 Canada
For the purpose of gene identification, we propose an approach to gene expression data mining that uses a combination of unsupervised and supervised learning techniques to search for useful patterns in the data. the a... 详细信息
来源: 评论
Neural network-based proper names extraction in fax images
Neural network-based proper names extraction in fax images
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international conference on pattern recognition
作者: N. Azzabou L. Likforman-Sulem Signal and Image Processing Laboratory & CNRS LTCI GET/Ecole Nationale Supérieure des Télécommunications Paris France
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented to work in parallel. the first one is b... 详细信息
来源: 评论