13 search results - page 2 / 3 » Extended model of conditioned learning within latent inhibit... |
CORR
2012
Springer
12 years 16 days ago
2012
Springer
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
DATAMINE
2010
13 years 2 months ago
2010
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
NIPS
2008
13 years 6 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...