723 search results - page 39 / 145 » Learning a Hidden Subgraph |
82
Voted
ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
MLDM
2009
Springer
15 years 5 months ago
2009
Springer
We consider a new data mining problem of detecting the members of a rare class of data, the needles, that have been hidden in a set of records, the haystack. Besides the haystack, ...
79
Voted
NIPS
1996
15 years 6 days ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
EMNLP
2007
15 years 10 days ago
2007
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...