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» Computing LTS Regression for Large Data Sets
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ICML
2007
IEEE
16 years 4 months ago
Maximum margin clustering made practical
Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Kai Zhang, Ivor W. Tsang, James T. Kwok
SC
2000
ACM
15 years 8 months ago
Parallel Phylogenetic Inference
Recent advances in DNA sequencing technology have created large data sets upon which phylogenetic inference can be performed. However, current research is limited by the prohibiti...
Quinn Snell, Michael Whiting, Mark J. Clement, Dav...
INTERNET
2007
105views more  INTERNET 2007»
15 years 3 months ago
Workflow Planning on a Grid
evel of abstraction, we can represent a workflow as a directed graph with operators (or tasks) at the vertices (see Figure 1). Each operator takes inputs from data sources or from ...
Craig W. Thompson, Wing Ning Li, Zhichun Xiao
SDM
2011
SIAM
232views Data Mining» more  SDM 2011»
14 years 6 months ago
A Sequential Dual Method for Structural SVMs
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
Shirish Krishnaj Shevade, Balamurugan P., S. Sunda...
CCGRID
2007
IEEE
15 years 10 months ago
Integrated Data Reorganization and Disk Mapping for Reducing Disk Energy Consumption
Increasing power consumption of high-performance systems leads to reliability, survivability, and cooling related problems. Motivated by this observation, several recent efforts f...
Seung Woo Son, Mahmut T. Kandemir