99 search results - page 12 / 20 » Learning Causal Structure from Overlapping Variable Sets |
89
Voted
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
103
Voted
PPSN
2004
Springer
15 years 5 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
UAI
2003
15 years 1 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
103
Voted
WWW
2009
ACM
16 years 9 days 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 ...