496 search results - page 14 / 100 » Semi-Supervised Learning of Mixture Models |
112
Voted
CIVR
2006
Springer
15 years 3 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
123
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SDM
2011
SIAM
14 years 2 months ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
118
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ICAPR
2005
Springer
15 years 5 months ago
2005
Springer
In this paper, Multi-View Expectation and Maximization algorithm for finite mixture models is proposed by us to handle realworld learning problems which have natural feature split...
KDD
2008
ACM
16 years 3 days 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...
ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...