434 search results - page 14 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
CVPR
2009
IEEE
15 years 23 days ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
COLING
2008
13 years 10 months ago
2008
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
NIPS
2004
13 years 10 months ago
2004
We present an algorithm based on convex optimization for constructing kernels for semi-supervised learning. The kernel matrices are derived from the spectral decomposition of grap...
COLT
1999
Springer
14 years 26 days ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...