24 search results - page 3 / 5 » Decomposition Algorithms for Training Large-Scale Semiparame... |
PVM
2005
Springer
13 years 10 months ago
2005
Springer
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...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
USS
2010
2010
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
13 years 3 months ago
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...