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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
588 条 记 录,以下是511-520 订阅
Proceedings Sixth international Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS international workshop on Self-Assembling Wireless Networks SNPD/SAWN 2005
Proceedings Sixth International Conference on Software Engin...
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6th international Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and 1st ACIS international workshop on Self-Assembling Wireless Networks, SNPD/SAWN 2005
The proceedings contain 71 papers. The topics discussed include: soft computing algorithms applied to the segmentation of nerve cell images;pattern recognition based on time-frequency distributions of radar micro-Dopp... 详细信息
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Shallow dialogue processing using machine learning algorithms (or not)
Shallow dialogue processing using machine learning algorithm...
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1st international workshop on machine learning for Multimodal Interaction
作者: Popescu-Belis, A Clark, A Georgescul, M Lalanne, D Zufferey, S Univ Geneva ETI Sch Translat & Interpreting TIMISSCO CH-1211 Geneva Switzerland Univ Fribourg Fac Sci DIUF DIVA CH-1700 Fribourg Switzerland
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and several machine learning techniques are... 详细信息
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learning similarity measure of nominal features in CBR classifiers
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1st international Conference on pattern recognition and machine Intelligence, PReMI 2005
作者: Li, Yan Shiu, Simon Chi-Keung Pal, Sankar Kumar Liu, James Nga-Kwok Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong Machine Intelligence Unit Indian Statistical Institute Kolkata 700 035 India
Nominal feature is one type of symbolic features, whose feature values are completely unordered. The most often used existing similarity metrics for symbolic features is the Hamming metric, where similarity computatio... 详细信息
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Constructing a decision tree for graph-structured data and its applications
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FUNDAMENTA INFORMATICAE 2005年 第1-2期66卷 131-160页
作者: Geamsakul, W Yoshida, T Ohara, K Motoda, H Yokoi, H Takabayashi, K Osaka Univ Inst Sci & Ind Res Ibaraki Osaka 5670047 Japan Chiba Univ Hosp Div Med Informat Chiba Japan
A machine learning technique called Graph-Based Induction (GBI) efficiently extracts typical patterns from graph-structured data by stepwise pair expansion (pairwise chunking). It is very efficient because of its gree... 详细信息
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EUC 2005 workshops: 2nd international Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, IFIP international Symposium on Network-Centric Ubiquitous Systems, NCUS 2005, 1st international workshop on Security in Ubiquitous Computing Systems, SecUbiq 2005, 1st international workshop on RFID and Ubiquitous Sensor Networks, USN 2005 and international workshop on Trusted and Autonomic Ubiquitous and Embedded Systems, TAUES 2005 held in conjunction with the IFIP international Conference on Embedded and Ubiquitous Computing, 2005
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EUC 2005 workshops: 2nd international Symposium on Ubiquitous Intelligence and Smart Worlds, UISW 2005, IFIP international Symposium on Network-Centric Ubiquitous Systems, NCUS 2005, 1st international workshop on Security in Ubiquitous Computing Systems, SecUbiq 2005, 1st international workshop on RFID and Ubiquitous Sensor Networks, USN 2005 and international workshop on Trusted and Autonomic Ubiquitous and Embedded Systems, TAUES 2005 held in conjunction with the IFIP international Conference on Embedded and Ubiquitous Computing, 2005
The proceedings contain 134 papers. The special focus in this conference is on Ubiquitous intelligence and smart worlds. The topics include: Human activity recognition based on surrounding things;a service management ...
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Multistream dynamic Bayesian network for meeting segmentation
Multistream dynamic Bayesian network for meeting segmentatio...
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1st international workshop on machine learning for Multimodal Interaction
作者: Dielmann, A Renals, S Univ Edinburgh Ctr Speech Technol Res Edinburgh EH8 9LW Midlothian Scotland
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose each meeting in a sequence of relevant... 详细信息
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Computational molecular biology of genome expression and regulation
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1st international Conference on pattern recognition and machine Intelligence, PReMI 2005
作者: Zhang, Michael Q. Cold Spring Harbor Laboratory 1 Bungtown Road Cold Spring Harbor NY 11724 United States
Technological advances in experimental and computational molecular biology have revolutionized the whole fields of biology and medicine. Large-scale sequencing, expression and localization data have provided us with a... 详细信息
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Designing smart environments: A paradigm based on learning and prediction
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1st international Conference on pattern recognition and machine Intelligence, PReMI 2005
作者: Das, Sajal K. Cook, Diane J. Department of Computer Science and Engineering University of Texas Arlington
We propose a learning and prediction based paradigm for designing smart home environments. The foundation of this paradigm lies in information theory as it manages uncertainties of the inhabitants' contexts (e.g.,... 详细信息
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mining stock market tendency using GA-based support vector machines
Mining stock market tendency using GA-based support vector m...
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1st international workshop on Internet and Network Economics, WINE 2005
作者: Yu, Lean Wang, Shouyang Lai, Kin Keung Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100080 China School of Management Graduate University Chinese Academy of Sciences Beijing 100039 China College of Business Administration Hunan University Changsha 410082 China Department of Management Sciences City University of Hong Kong Tat Chee Avenue Kowloon Hong Kong
In this study, a hybrid intelligent data mining methodology, genetic algorithm based support vector machine (GASVM) model, is proposed to explore stock market tendency. In this hybrid data mining approach, GA is used ... 详细信息
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Multi channel sequence processing
Multi channel sequence processing
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1st international workshop on Deterministic and statistical Methods in machine learning
作者: Bengio, S Bourlard, H IDIAP Res Inst CH-1920 Martigny Switzerland Swiss Fed Inst Technol EPFL CH-1015 Lausanne Switzerland
This paper summarizes some of the current research challenges arising from multi-channel sequence processing. Indeed, multiple real life applications involve simultaneous recording and analysis of multiple information... 详细信息
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