18 search results - page 3 / 4 » A New Empirical Study of Weak Backdoors |
CORR
2011
Springer
12 years 10 months ago
2011
Springer
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as...
MICCAI
2007
Springer
14 years 7 months ago
2007
Springer
In this paper, we propose a unified framework for computing atlases from manually labeled data at various degrees of "sharpness" and the joint registration-segmentation o...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
ET
2007
13 years 6 months ago
2007
As new approaches and algorithms are developed for system diagnosis, it is important to reflect on existing approaches to determine their strengths and weaknesses. Of concern is i...