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PVM
2005
Springer
16 years 7 days ago
Some Improvements to a Parallel Decomposition Technique for Training Support Vector Machines
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
Thomas Serafini, Luca Zanni, Gaetano Zanghirati
SBACPAD
2003
IEEE
121views Hardware» more  SBACPAD 2003»
16 years 1 days ago
Optimizing Packet Capture on Symmetric Multiprocessing Machines
Traffic monitoring and analysis based on general purpose systems with high speed interfaces, such as Gigabit Ethernet and 10 Gigabit Ethernet, requires carefully designed software...
Gianluca Varenni, Mario Baldi, Loris Degioanni, Fu...
ICPR
2002
IEEE
15 years 11 months ago
Tangent Distance Kernels for Support Vector Machines
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
Bernard Haasdonk, Daniel Keysers
ANNPR
2006
Springer
15 years 10 months ago
Incremental Training of Support Vector Machines Using Truncated Hypercones
We discuss incremental training of support vector machines in which we approximate the regions, where support vector candidates exist, by truncated hypercones. We generate the trun...
Shinya Katagiri, Shigeo Abe
ACL
2008
15 years 8 months ago
MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation
We propose an automatic machine translation (MT) evaluation metric that calculates a similarity score (based on precision and recall) of a pair of sentences. Unlike most metrics, ...
Yee Seng Chan, Hwee Tou Ng