931 search results - page 81 / 187 » Bayesian tensor analysis |
124
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ICTAI
2008
IEEE
15 years 7 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
84
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EKAW
2004
Springer
15 years 6 months ago
2004
Springer
Among the various tasks involved in building a Bayesian network for a real-life application, the task of eliciting all probabilities required is generally considered the most daunt...
WSC
2008
15 years 2 months ago
2008
Limit standards are probability interval requirements for proportions. Simulation literature has focused on finding the confidence interval of the population proportion, which is ...
130
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IDA
2006
Springer
15 years 17 days ago
2006
Springer
The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a ...
127
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PR
2011
14 years 7 months ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...