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» Boosted Optimization for Network Classification
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ICANN
2011
Springer
14 years 6 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
125
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CLASSIFICATION
2006
108views more  CLASSIFICATION 2006»
15 years 2 months ago
The Practice of Cluster Analysis
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Jon R. Kettenring
125
Voted
INFOCOM
2003
IEEE
15 years 8 months ago
Measurement-Based Optimization Techniques for Bandwidth-Demanding Peer-to-Peer Systems
— Measurement-based optimization is one important strategy to improve the performance of bandwidth-demanding peer-to-peer systems. However, to date, we have little quantitative k...
T. S. Eugene Ng, Yang-Hua Chu, Sanjay G. Rao, Kunw...
116
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IPCCC
2005
IEEE
15 years 8 months ago
Key management in wireless ad hoc networks: collusion analysis and prevention
Due to the dynamic nature of WAHN communications and the multi-node involvement in most WAHN applications, group key management has been proposed for efficient support of secure c...
Mohamed F. Younis, Kajaldeep Ghumman, Mohamed Elto...
135
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IEEECIT
2006
IEEE
15 years 8 months ago
Multi-Agent based Data Integration in Real-world
This paper presents a Multi-Agent based Data Integration (MADI) framework for integrating distributed data source across Internet. This framework takes control on high-availabilit...
Yintang Dai, Shiyong Zhang