467 search results - page 30 / 94 » Learning Mixtures of DAG Models |
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
BMVC
2001
14 years 10 days ago
2001
Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different...
BMCBI
2008
13 years 10 months ago
2008
Background: Mixture models of mutagenetic trees are evolutionary models that capture several pathways of ordered accumulation of genetic events observed in different subsets of pa...
NIPS
2001
13 years 11 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
NIPS
1998
13 years 11 months ago
1998
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...