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» An Iterative Method for Distributed Database Design
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 9 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
SIGMOD
2008
ACM
188views Database» more  SIGMOD 2008»
14 years 9 months ago
Just-in-time query retrieval over partially indexed data on structured P2P overlays
Structured peer-to-peer (P2P) overlays have been successfully employed in many applications to locate content. However, they have been less effective in handling massive amounts o...
Sai Wu, Jianzhong Li, Beng Chin Ooi, Kian-Lee Tan
CIKM
2009
Springer
14 years 3 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
PDP
2008
IEEE
14 years 3 months ago
Just-In-Time Scheduling for Loop-based Speculative Parallelization
Scheduling for speculative parallelization is a problem that remained unsolved despite its importance. Simple methods such as Fixed-Size Chunking (FSC) need several ‘dry-runs’...
Diego R. Llanos Ferraris, David Orden, Belé...