220 search results - page 5 / 44 » Learning probabilistic decision graphs |
115
Voted
ICML
2002
IEEE
16 years 3 months ago
2002
IEEE
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
148
Voted
METMBS
2003
15 years 4 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
127
Voted
FSTTCS
2006
Springer
15 years 6 months ago
2006
Springer
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
189
Voted
ECCV
2008
Springer
15 years 4 months ago
2008
Springer
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
125
Voted
AAAI
2008
15 years 5 months ago
2008
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...