248 search results - page 2 / 50 » Statistical optimization of octree searches |
JMLR
2012
11 years 7 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
JGO
2010
13 years 3 months ago
2010
In this paper we develop a methodology for defining stopping rules in a general class of global random search algorithms that are based on the use of statistical procedures. To bu...
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
FGR
2006
IEEE
13 years 8 months ago
2006
IEEE
Active statistical models including active shape models and active appearance models are very powerful for face alignment. They are composed of two parts: the subspace model(s) an...
IJAIT
2002
13 years 4 months ago
2002
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...