654 search results - page 3 / 131 » TRUST-TECH based Methods for Optimization and Learning |
ALT
2004
Springer
14 years 3 months ago
2004
Springer
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...
SCALESPACE
2009
Springer
14 years 24 days ago
2009
Springer
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
FLAIRS
2007
13 years 8 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
ICML
2003
IEEE
14 years 7 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
CGO
2009
IEEE
14 years 1 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...