465 search results - page 60 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
ECSQARU
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper deals with shading and AAMs. Shading is created by lighting change. It can be of two types: selfshading and external shading. The effect of self-shading can be explicit...
HUC
2010
Springer
14 years 8 months ago
2010
Springer
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
89
Voted
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...