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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 1999"
16 条 记 录,以下是1-10 订阅
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Unsupervised EEG Analysis for Automated Epileptic Seizure Detection  1
Unsupervised EEG Analysis for Automated Epileptic Seizure De...
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1st international workshop on pattern recognition (IWPR)
作者: Birjandtalab, Javad Pouyan, Maziyar Baran Nourani, Mehrdad Univ Texas Richardson Qual Life Technol Lab Richardson TX 75080 USA
Epilepsy is a neurological disorder which can, if not controlled, potentially cause unexpected death. It is extremely crucial to have accurate automatic pattern recognition and data mining techniques to detect the ons... 详细信息
来源: 评论
Finding the Right Features for Instrument Classification of Classical Music  06
<bold>Finding the Right Features for Instrument Classificati...
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1st international workshop international AI and data mining
作者: Deng, Da Simmermacher, Christian Cranefield, stephen Univ Otago Dept Informat Sci POB 56 Dunedin New Zealand
In tackling data mining and pattern recognition tasks, finding a compact but effective set of features is often a crucial step in the whole problem solving process. In this paper we present an empirical study on featu... 详细信息
来源: 评论
Automatic annotation of protein functional class from sparse and imbalanced data sets
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1st international workshop on data mining and Bioinformatics
作者: Jung, Jaehee Thon, Michael R. Texas A&M Univ Dept Comp Sci College Stn TX 77843 USA Texas A&M Univ Dept Plant Pathol & Microbiol College Stn TX 77843 USA
In recent years, high-throughput genome sequencing and sequence analysis technologies have created the need for automated annotation and analysis of large sets of genes. The Gene Ontology (GO) provides a common contro... 详细信息
来源: 评论
A fast SVM training algorithm
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international JOURNAL OF pattern recognition AND ARTIFICIAL INTELLIGENCE 2003年 第3期17卷 367-384页
作者: Dong, JX Suen, CY Concordia Univ Ctr Pattern Recognit & Machine Intelligent Montreal PQ H3G 1M8 Canada Concordia Univ Dept Comp Sci Montreal PQ H3G 1M8 Canada
A fast support vector machine (SVM) training algorithm is proposed under SVM's decomposition framework by effectively integrating kernel caching, digest and shrinking policies and stopping conditions. Kernel cachi... 详细信息
来源: 评论
A fast SVM training algorithm
A fast SVM training algorithm
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1st international workshop on pattern recognition with Support Vector machines
作者: Dong, JX Suen, CY Concordia Univ Ctr Pattern Recognit & Machine Intelligent Montreal PQ H3G 1M8 Canada Concordia Univ Dept Comp Sci Montreal PQ H3G 1M8 Canada
A fast support vector machine (SVM) training algorithm is proposed under SVM's decomposition framework by effectively integrating kernel caching, digest and shrinking policies and stopping conditions. Kernel cachi... 详细信息
来源: 评论
Typhoon analysis and data mining with kernel methods  1st
Typhoon analysis and data mining with kernel methods
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1st international workshop on pattern recognition with Support Vector machines
作者: Kitamoto, A Natl Inst Informat Chiyoda Ku Tokyo 1018430 Japan
The analysis of the typhoon is based on the manual pattern recognition of cloud patterns on meteorological satellite images by human experts, but this process may be unstable and unreliable, and we think could be impr... 详细信息
来源: 评论
learning in pattern recognition  1st
Learning in pattern recognition
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1st international workshop on machine learning and data mining in pattern recognition
作者: Petrou, M Univ Surrey Sch Elect Engn Informat Technol & Math Guildford GU2 5XH Surrey England
learning in the context of a pattern recognition system is defined as the process that allows it to cope with real and ambiguous data. The various ways by which artificial decision systems operate are discussed in con... 详细信息
来源: 评论
Symbolic learning techniques in paper document processing  1st
Symbolic learning techniques in paper document processing
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1st international workshop on machine learning and data mining in pattern recognition, mldm 1999
作者: Altamura, Oronzo Esposito, Floriana Lisi, Francesca A. Malerba, Donato Dipartimento di Informatica Università degli Studi di Bari via Orabona 4 Bari70126 Italy
WISDOM++ is an intelligent document processing system that transforms a paper document into HTML/XML format. The main design requirement is adaptivity, which is realized through the application of machine learning met... 详细信息
来源: 评论
A data mining application for monitoring environmental risks  1st
A data mining application for monitoring environmental risks
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1st international workshop on machine learning and data mining in pattern recognition
作者: Scaringella, A Consiglio Minist DSTN Serv Idrograf & Mareograf Nazl I-00185 Rome Italy Univ Rome La Sapienza CATTID Rome Italy
We describe the guidelines of a system for monitoring environmental risk situations. The system is based on data mining techniques and in particular classification trees working on the data base collected by the Itali... 详细信息
来源: 评论
Advances in predictive data mining methods  1st
Advances in predictive data mining methods
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1st international workshop on machine learning and data mining in pattern recognition, mldm 1999
作者: Hong, Se June Weiss, Sholom M. IBM T.J. Watson Research Center P.O. Box 218 Yorktown HeightsNY10598 United States
Predictive models have been widely used long before the development of the new field that we call data mining. Expanding application demand for data mining of ever increasing data warehouses, and the need for understa... 详细信息
来源: 评论