727 search results - page 118 / 146 » On Bayesian model and variable selection using MCMC |
AUSDM
2007
Springer
15 years 3 months ago
2007
Springer
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
EAAI
2007
14 years 9 months ago
2007
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine generated explanations have been produced from a particular perspec...
NIPS
2008
14 years 11 months ago
2008
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
ARTMED
1999
14 years 9 months ago
1999
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
ICIP
1998
IEEE
15 years 2 months ago
1998
IEEE
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...