313 search results - page 46 / 63 » Hierarchical sampling for active learning |
ICML
2008
IEEE
16 years 3 days ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
112
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CIKM
2009
Springer
15 years 3 months ago
2009
Springer
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
100
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FUIN
2006
14 years 11 months ago
2006
Sunspots are the subject of interest to many astronomers and solar physicists. Sunspot observation, analysis and classification form an important part of furthering the knowledge a...
103
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AGI
2011
14 years 2 months ago
2011
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...