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105
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DAGSTUHL
2007
15 years 2 months ago
Programming self developing blob machines for spatial computing.
: This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
Frédéric Gruau, Christine Eisenbeis
99
Voted
TASE
2008
IEEE
15 years 22 days ago
Lean Buffering in Serial Production Lines With Nonidentical Exponential Machines
Lean buffering is the smallest buffer capacity, which is necessary and sufficient to ensure the desired production rate of a manufacturing system. Literature offers methods for des...
Shu-Yin Chiang, Alexander Hu, Semyon M. Meerkov
124
Voted
CVPR
2004
IEEE
16 years 2 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
126
Voted
PPOPP
2009
ACM
16 years 1 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
104
Voted
SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 10 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic