Sciweavers

131 search results - page 10 / 27
» Support vector machine via nonlinear rescaling method
Sort
View
115
Voted
IROS
2006
IEEE
131views Robotics» more  IROS 2006»
15 years 9 months ago
Support Vector Path Planning
— This paper describes a unique approach of applying a pattern classification technique to robot path planning. A collision-free path connecting a start and a goal point provide...
Jun Miura
143
Voted
TKDD
2008
113views more  TKDD 2008»
15 years 3 months ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung
127
Voted
SAC
2006
ACM
15 years 9 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
139
Voted
ALT
2004
Springer
16 years 12 days ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
ICML
2003
IEEE
16 years 4 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims