307 search results - page 4 / 62 » Classification Using a Hierarchical Bayesian Approach |
CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
AI
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
117
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JMLR
2010
14 years 6 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
131
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SIGIR
2000
ACM
15 years 4 months ago
2000
ACM
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
TCSV
2010
14 years 6 months ago
2010
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...