86 search results - page 15 / 18 » Conditioning Graphs: Practical Structures for Inference in B... |
AAAI
2008
13 years 9 months ago
2008
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
PAMI
2010
13 years 5 months ago
2010
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...