1864 search results - page 77 / 373 » Modeling Classification and Inference Learning |
123
Voted
ML
2008
ACM
15 years 17 days ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
105
Voted
JMLR
2010
14 years 7 months ago
2010
Round-based games are an instance of discrete planning problems. Some of the best contemporary game tree search algorithms use random roll-outs as data. Relying on a good policy, ...
116
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Real-time functional magnetic resonance imaging (rtfMRI) enables classification of brain activity during data collection thus making inference results accessible to both the subj...
117
Voted
GRC
2010
IEEE
15 years 1 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
103
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ICDM
2005
IEEE
15 years 6 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...