1419 search results - page 50 / 284 » Approximation Methods for Supervised Learning |
LREC
2010
13 years 11 months ago
2010
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
PR
2010
13 years 8 months ago
2010
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
ICDM
2007
IEEE
14 years 4 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
ICANN
2009
Springer
14 years 4 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
ICCV
2011
IEEE
12 years 10 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...