686 search results - page 95 / 138 » How Bayesians Debug |
AUSAI
2005
Springer
14 years 2 months ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...
DAGM
2003
Springer
14 years 2 months ago
2003
Springer
We address the question of how to choose between different likelihood functions for motion estimation. To this end, we formulate motion estimation as a problem of Bayesian inferen...
ICASSP
2009
IEEE
14 years 25 days ago
2009
IEEE
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
AI
2006
Springer
14 years 22 days ago
2006
Springer
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...