Sciweavers

1627 search results - page 85 / 326
» Multi-Instance Mixture Models
Sort
View
CSDA
2007
84views more  CSDA 2007»
13 years 7 months ago
Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes
This paper proposes mixture models for spatially adaptive smoothing of health event data (e.g. mortality or illness totals). Such models allow for spatial pooling of strength but a...
Peter Congdon
UAI
2003
13 years 9 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
BMCBI
2008
134views more  BMCBI 2008»
13 years 8 months ago
Stability analysis of mixtures of mutagenetic trees
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...
Jasmina Bogojeska, Thomas Lengauer, Jörg Rahn...
CSDA
2007
82views more  CSDA 2007»
13 years 8 months ago
Non-parametric log-concave mixtures
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
Paul H. C. Eilers, M. W. Borgdorff
ICPR
2006
IEEE
14 years 9 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...