1010 search results - page 19 / 202 » Co-EM support vector learning |
ML
2010
ACM
13 years 6 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
NIPS
1996
13 years 9 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
CGF
2005
13 years 7 months ago
2005
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...