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» Bayesian learning of measurement and structural models
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PAMI
2011
13 years 4 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
ICML
2007
IEEE
14 years 9 months ago
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
Kai Ni, Lawrence Carin, David B. Dunson
ICTAI
2003
IEEE
14 years 2 months ago
Inference via Fuzzy Belief Petri Nets
The fuzzy belief Petri net we propose in this paper propagates fuzzy beliefs from observations at nodes that represent measured parameters to fuzzy beliefs of the truths of parame...
Carl G. Looney, Lily R. Liang
APSEC
2007
IEEE
13 years 11 months ago
An Approach to Probabilistic Effort Estimation for Military Avionics Software Maintenance by Considering Structural Characterist
The needs of software maintenance and the importance of maintenance project management increase rapidly in the military avionics industry. Although few previous studies related to...
Tae-Hoon Song, Kyung-A Yoon, Doo-Hwan Bae
NIPS
2004
13 years 10 months ago
Modelling Uncertainty in the Game of Go
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
David H. Stern, Thore Graepel, David J. C. MacKay