363 search results - page 32 / 73 » Probabilistic Data Generation for Deduplication and Data Lin... |
UAI
2003
13 years 9 months ago
2003
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
KDD
2008
ACM
2008
ACM
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
14 years 8 months ago
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
BMCBI
2008
13 years 7 months ago
2008
Background: Genome wide association (GWA) studies are now being widely undertaken aiming to find the link between genetic variations and common diseases. Ideally, a well-powered G...
JMLR
2010
13 years 2 months ago
2010
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
BIBE
2007
IEEE
14 years 1 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...