27 search results - page 2 / 6 » Solving maximum-entropy sampling problems using factored mas... |
ATAL
2009
Springer
14 years 26 days ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
APPROX
2005
Springer
13 years 11 months ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
WSCG
2004
13 years 7 months ago
2004
We present a lighting method for outdoor scenes with vegetation. The method is compatible with multiresolution trees generated using random L-systems. We include a sky dome model ...
WSCG
2004
13 years 7 months ago
2004
This paper presents a stochastic iteration algorithm solving the global illumination problem, where the random sampling is governed by classical importance sampling and also by th...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...