573 search results - page 18 / 115 » Probabilistic Explanation Based Learning |
CEC
2003
IEEE
14 years 8 days ago
2003
IEEE
- As an alternative to traditional Evolutionary Algorithms (EAs), Population-Based Incremental Learning (PBIL) maintains a probabilistic model of the best individual(s). Originally...
ICRA
2002
IEEE
14 years 1 months ago
2002
IEEE
Learning can be an effective way for robot systems to deal with dynamic environments and changing task conditions. However, popular singlerobot learning algorithms based on discou...
ECCV
2000
Springer
14 years 10 months ago
2000
Springer
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
ML
2002
ACM
13 years 8 months ago
2002
ACM
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
IJAR
2006
13 years 8 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...