123 search results - page 11 / 25 » Bayesian Algorithms for Causal Data Mining |
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
KDD
2004
ACM
14 years 22 days ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
KDD
2008
ACM
2008
ACM
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
14 years 7 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...