553 search results - page 59 / 111 » Bayesian network learning algorithms using structural restri... |
NIPS
2007
14 years 8 days ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the network structure by using aux...
UAI
1996
14 years 5 days ago
1996
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...