3142 search results - page 226 / 629 » Solving Hierarchical Optimization Problems Using MOEAs |
115
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
148
Voted
ESOP
2006
Springer
15 years 7 months ago
2006
Springer
We present and solve a path optimization problem on programs. Given a set of program nodes, called critical nodes, we find a shortest path through the program's control flow g...
123
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
113
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
We consider a regression problem where target values are given as intervals, and propose a statistical approach to it. Although it is hard to solve the optimization problem direct...
122
Voted
SIGIR
2010
ACM
15 years 7 months ago
2010
ACM
This paper presents a novel prototype hierarchy based clustering (PHC) framework for the organization of web collections. It solves simultaneously the problem of categorizing web ...