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PRL
2006
114views more  PRL 2006»
15 years 6 months ago
Incremental training of support vector machines using hyperspheres
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
Shinya Katagiri, Shigeo Abe
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
16 years 1 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
VLSID
2007
IEEE
97views VLSI» more  VLSID 2007»
16 years 1 months ago
Embedded Support Vector Machine : Architectural Enhancements and Evaluation
In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent e...
Soumyajit Dey, Monu Kedia, Niket Agarwal, Anupam B...
CIBCB
2006
IEEE
16 years 25 days ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
USENIX
2003
15 years 8 months ago
A Multi-User Virtual Machine
Recent efforts aimed at improving the scalability of the JavaTM platform have focused primarily on the safe collocation of multiple applications in the virtual machine. This is of...
Grzegorz Czajkowski, Laurent Daynès, Ben Ti...