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» A hierarchical model of data locality
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ICML
2005
IEEE
14 years 11 months ago
Learning discontinuities with products-of-sigmoids for switching between local models
Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth functions, we p...
Marc Toussaint, Sethu Vijayakumar
NIPS
2004
13 years 11 months ago
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, ...
EVOW
2008
Springer
13 years 11 months ago
Improving the Performance of Hierarchical Classification with Swarm Intelligence
In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorith...
Nicholas Holden, Alex Alves Freitas
PR
2011
13 years 27 days ago
Hierarchical annotation of medical images
In this paper, we describe an approach for the automatic medical annotation task of the 2008 CLEF cross-language image retrieval campaign (ImageCLEF). The data comprise 12076 full...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
BMCBI
2007
138views more  BMCBI 2007»
13 years 10 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...