Supervising topic models with Gaussian processes

2018 ◽  
Vol 77 ◽  
pp. 226-236 ◽  
Author(s):  
Melih Kandemir ◽  
Taygun Kekeç ◽  
Reyyan Yeniterzi
2012 ◽  
Vol 23 (5) ◽  
pp. 1100-1119 ◽  
Author(s):  
Yu HONG ◽  
Yu CANG ◽  
Jian-Min YAO ◽  
Guo-Dong ZHOU ◽  
Qiao-Ming ZHU
Keyword(s):  

1983 ◽  
Vol 20 (03) ◽  
pp. 529-536
Author(s):  
W. J. R. Eplett

A natural requirement to impose upon the life distribution of a component is that after inspection at some randomly chosen time to check whether it is still functioning, its life distribution from the time of checking should be bounded below by some specified distribution which may be defined by external considerations. Furthermore, the life distribution should ideally be minimal in the partial ordering obtained from the conditional probabilities. We prove that these specifications provide an apparently new characterization of the DFRA class of life distributions with a corresponding result for IFRA distributions. These results may be transferred, using Slepian's lemma, to obtain bounds for the boundary crossing probabilities of a stationary Gaussian process.


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