86 search results - page 15 / 18 » Conditioning Graphs: Practical Structures for Inference in B... |
120
Voted
AAAI
2008
15 years 5 months ago
2008
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
122
Voted
PAMI
2010
15 years 1 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...
149
Voted
ICCV
2007
IEEE
16 years 4 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 ...
139
Voted
KDD
2010
ACM
15 years 6 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...
115
Voted
KDD
2003
ACM
16 years 3 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...