32 search results - page 4 / 7 » Semi-supervised learning for structured output variables |
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We consider the problem of learning a sparse multi-task regression, where the structure in the outputs can be represented as a tree with leaf nodes as outputs and internal nodes a...
BMCBI
2007
13 years 7 months ago
2007
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
JMLR
2010
13 years 2 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...