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检索条件"任意字段=4th International Conference on Machine Learning and Data Mining in Pattern Recognition"
3357 条 记 录,以下是2821-2830 订阅
mining Protein Primary Structure data Using Committee machines Approach to Predict Protein Contact Map
Mining Protein Primary Structure Data Using Committee Machin...
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4th international conference on Emerging Technologies (ICET)
作者: Habibi, Narjes K. Mahdaviani, Kaveh Saraee, Mohammad H. Isfahan Univ Technol Dept Elect & Comp Engn Adv Database Syst Data Min & Bioinformat Res Lab Esfahan *** Iran
Committee machines approach has shown to be useful in different applications. Protein primary structure data contain valuable information to extract. In this paper we mine these data and predict protein contact map ba... 详细信息
来源: 评论
Novel Intrusion Prevention and Detection Methods
Novel Intrusion Prevention and Detection Methods
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4th international IEEE conference Intelligent Systems
作者: Jotsov, Vladimir S. State Univ Lib Studies & Informat Technol Sofia 1113 Bulgaria
Analysis of contemporary information security systems (ISS) and especially the case of intrusion detection systems (IDS) shows us few character negative features and drawbacks. Original methods and combined anomaly an... 详细信息
来源: 评论
Privacy-Preserving Protocols for Perceptron learning Algorithm in Neural Networks
Privacy-Preserving Protocols for Perceptron Learning Algorit...
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4th international IEEE conference Intelligent Systems
作者: Samet, Saeed Miri, Ali Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada
Neural networks have become increasingly important in areas such as medical diagnosis, bio-informatics, intrusion detection, and homeland security. In most of these applications, one major issue is preserving privacy ... 详细信息
来源: 评论
Generalized Locally Linear Embedding Based on Local Reconstruction Similarity
Generalized Locally Linear Embedding Based on Local Reconstr...
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5th international conference on Fuzzy Systems and Knowledge Discovery
作者: Zeng, Xianhua Luo, Siwei China W Normal Univ Sch Comp Nanchong 637002 Peoples R China Beihang Jiaotong Univ Sch Comp & Informat Technol Beijing 100044 Peoples R China
Manifold learning has currently become a hot issue in the field of machine learning, pattern recognition and data mining. Locally linear embedding (LLE) is one of several promising manifold learning methods. But ordin... 详细信息
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learning in Networks: Complex-valued Neurons, Pruning, and Rule Extraction
Learning in Networks: Complex-valued Neurons, Pruning, and R...
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4th international IEEE conference Intelligent Systems
作者: Zurada, Jacek M. Aizenberg, Igor Mazurowski, Maciej A. Univ Louisville Dept Elect & Comp Engn Louisville KY 40208 USA
this paper focuses on neural networks with complex-valued (CV) neurons as well as on selected aspects of neural networks learning, pruning and rule extraction. CV neurons can be used as versatile substitutes in real-v... 详细信息
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Feature selection based on scatter degree
Feature selection based on scatter degree
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7th international conference on machine learning and Cybernetics
作者: Xu, Jun-Ling Xu, Bao-Wen Wang, Cong Cui, Zi-Feng SE Univ Sch Comp Sci & Engn Nanjing 211189 Peoples R China Ricoh Imaging Technol Shanghai Co Ltd Shanghai 200233 Peoples R China
Feature selection is an important task in machine learning, pattern recognition and data mining. this paper proposed a new feature selection method for classification, named SD, which is based on scatter matrix used i... 详细信息
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Tabu search model selection for SVM
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international JOURNAL OF NEURAL SYSTEMS 2008年 第1期18卷 19-31页
作者: Lebrun, Gilles Charrier, Christophe Lezoray, Olivier Cardot, Hubert Univ Caen Basse Normandie GREYC UMR 6072 CNRS Image Team F-14050 Caen France Univ Tours Lab Informat EA 2101 F-37200 Tours France
A model selection method based on tabu search is proposed to build support vector machines (binary decision functions) of reduced complexity and efficient generalization. the aim is to build a fast and efficient suppo... 详细信息
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A Survey on Statistical pattern Feature Extraction
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4th international conference on Intelligent Computing
作者: Ding, Shifei Jia, Weikuan Su, Chunyang Jin, Fengxiang Shi, Zhongzhi China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221008 Peoples R China Acad Sinica Key Lab Intelligent Informat Proc Inst Comop Technol Beijing 100080 Peoples R China Agr Univ Coll Plant Protection Tai An Shandong 271018 Peoples R China Shandong Univ Sci Technol Coll Geoinformation Sci Engn Qingdao 266510 Peoples R China
the goal of statistical pattern feature extraction (SPFE) is 'low loss dimension reduction'. As the key link of pattern recognition, dimension reduction has become the research hot spot and difficulty in the f... 详细信息
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An Effective Algorithm for mining Quantitative Association Rules Based on High Dimension Cluster
An Effective Algorithm for Mining Quantitative Association R...
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4th international conference on Wireless Communications, Networking and Mobile Computing
作者: Guo Yunkai Yang Junrui Huang Yulei Xian Univ Sci & Technol Dept Comp Sci Xian 710054 Peoples R China
mining association rules plays an essential role in data mining tasks. Many algorithms have been proposed for mining Boolean association rules, but they cannot deal with quantitative and categorical data directly. Alt... 详细信息
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4th international conference on Intelligent Computing, ICIC 2008
4th International Conference on Intelligent Computing, ICIC ...
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4th international conference on Intelligent Computing, ICIC 2008
the proceedings contain 70 papers. the special focus in this conference is on Intelligent Computing. the topics include: Adaptive routing algorithm in wireless communication networks using evolutionary algorithm;solvi...
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