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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
580 条 记 录,以下是521-530 订阅
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Virtual astronomy, information technology, and the new scientific methodology
Virtual astronomy, information technology, and the new scien...
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Computer Architectures for machine Perception (CAMP)
作者: S.G. Djorgovski Division of Physics Mathematics and Astronomy and with Center for Advanced Computing Research California Institute of Technology Pasadena CA USA
All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also pose... 详细信息
来源: 评论
Quantum computing based machine learning method and its application in radar emitter signal recognition  1
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1st international Conference on Modeling Decisions for Artificial Intelligence
作者: Zhang, GX Hu, LZ Jin, WD Natl EW Lab Chengdu 610036 Sichuan Peoples R China SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Sichuan Peoples R China
Feature selection plays a central role in data analysis and is also a crucial step in machine learning, data mining and pattern recognition. Feature selection algorithm focuses mainly on the design of a criterion func... 详细信息
来源: 评论
1st international workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2004
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1st international workshop on Biologically Inspired Approaches to Advanced Information Technology, BioADIT 2004
The proceedings contain 36 papers. The special focus in this conference is on Biosystems for IT Evolution, Bio-inspired Software Systems, Hardware Systems and Robotics. The topics include: Object-oriented specificatio...
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IFIP TC12 1st international Conference on Artificial Intelligence Applications and Innovations, AIAI 2004
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IFIP TC12 1st international Conference on Artificial Intelligence Applications and Innovations, AIAI 2004
The proceedings contain 40 papers. The special focus in this conference is on Artificial Intelligence Applications and Innovations. The topics include: Artificial intelligence systems in micromechanics;integrating two...
来源: 评论
Combining statistical monitoring and predictable recovery for self-management
Combining statistical monitoring and predictable recovery fo...
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1st ACM SIGSOFT workshop on Self-Managing Systems, WOSS '04, Co-located with the 12th ACM SIGSOFT international Symposium on the Foundations of Software Engineering, FSE-12
作者: Fox, Armando Klclman, Emre Patterson, David Computer Science Department Stanford University United States Computer Science Division University of California Berkeley United States
Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical network-based applications. What is new is that the workload and internal architecture of three-tier ent... 详细信息
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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
Scaling large learning problems with hard parallel mixtures
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international JOURNAL OF pattern recognition AND ARTIFICIAL INTELLIGENCE 2003年 第3期17卷 349-365页
作者: Collobert, R Bengio, Y Bengio, S IDIAP CH-1920 Martigny Switzerland Univ Montreal DIRO Montreal PQ Canada
A challenge for statistical learning is to deal with large data sets, e.g. in data mining. The training time of ordinary Support Vector machines is at least quadratic, which raises a serious research challenge if we w... 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
Silicon support vector machine with on-line learning
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international JOURNAL OF pattern recognition AND ARTIFICIAL INTELLIGENCE 2003年 第3期17卷 385-404页
作者: Genov, R Chakrabartty, S Cauwenberghs, G Univ Toronto Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada Johns Hopkins Univ Dept Elect & Comp Engn Baltimore MD 21218 USA
Training of support vector machines (SVMs) amounts to solving a quadratic programming problem over the training data. We present a simple on-line SVM training algorithm of complexity approximately linear in the number... 详细信息
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Scaling large learning problems with hard parallel mixtures  1st
Scaling large learning problems with hard parallel mixtures
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1st international workshop on pattern recognition with Support Vector machines
作者: Collobert, R Bengio, Y Bengio, S IDIAP CH-1920 Martigny Switzerland Univ Montreal DIRO Montreal PQ Canada
A challenge for statistical learning is to deal with large data sets, e.g. in data mining. The training time of ordinary Support Vector machines is at least quadratic, which raises a serious research challenge if we w... 详细信息
来源: 评论