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Titlebook: Advanced Web Technologies and Applications; 6th Asia-Pacific Web Jeffrey Xu Yu,Xuemin Lin,Yanchun Zhang Conference proceedings 2004 Springe

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楼主: centipede
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https://doi.org/10.1007/978-3-642-65683-5 to tackle more expressive queries, namely, Σ. queries (formulas of the form .). The purpose of the talk is to examine which directions could be explored in order to move towards more expressive languages, more powerful search engines, and the benefits that users should expect.
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J. Michael Lane M.D.,Lila Summers and use the first-order learning algorithm FOIL to exploit the semantic relations among data instances. On the prediction results of individual methods, the system combines their outcomes using our matching committee rule called the Best Outstanding Champion. The experiments show that SIMON system achieves high accuracy on real-world domain.
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https://doi.org/10.1007/b102143ed for general clustering problems. The reason why matrix Singular Value Decomposition (SVD) can provide solution to orthogonal clustering is strictly proved. The orthogonal clustering has a solid mathematics foundation and many advantages over traditional heuristic clustering algorithms.
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Christina M. Surawicz,Lynne V. McFarlandrecall in a large degree. Performance evaluations showed the proposed paradigm in this paper was effective, stable and feasible for large-scale users to gain fresh information instead of polling from kinds of information sources.
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