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KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 6 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
ALT
2000
Springer
16 years 3 months ago
On the Noise Model of Support Vector Machines Regression
Abstract. Support Vector Machines Regression (SVMR) is a learning technique where the goodness of fit is measured not by the usual quadratic loss function (the mean square error),...
Massimiliano Pontil, Sayan Mukherjee, Federico Gir...
SC
2009
ACM
16 years 1 months ago
Enabling software management for multicore caches with a lightweight hardware support
The management of shared caches in multicore processors is a critical and challenging task. Many hardware and OS-based methods have been proposed. However, they may be hardly adop...
Jiang Lin, Qingda Lu, Xiaoning Ding, Zhao Zhang, X...
IJCNN
2006
IEEE
16 years 10 days ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...
GRID
2004
Springer
15 years 11 months ago
Distributed Ant: A System to Support Application Deployment in the Grid
e-Science has much to benefit from the emerging field of grid computing. However, construction of e-Science grids is a complex and inefficient undertaking. In particular, deployme...
Wojtek Goscinski, David Abramson