307 search results - page 10 / 62 » Classification Using a Hierarchical Bayesian Approach |
114
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UAI
2003
15 years 1 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
MCS
2004
Springer
15 years 5 months ago
2004
Springer
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
102
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KDD
1995
ACM
15 years 3 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...
131
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ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
Hierarchical taxonomies are used to organize and retrieve information in many domains, especially those dealing with large and rapidly growing amounts of information. In many of t...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...