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ECSQARU
2001
Springer
14 years 1 months ago
An Empirical Investigation of the K2 Metric
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...
Christian Borgelt, Rudolf Kruse
ICML
2007
IEEE
14 years 9 months ago
A recursive method for discriminative mixture learning
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...
Minyoung Kim, Vladimir Pavlovic
CVPR
2008
IEEE
14 years 10 months ago
Light-invariant fitting of active appearance models
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...
Daniel Pizarro, Julien Peyras, Adrien Bartoli
HUC
2010
Springer
13 years 7 months ago
Routine as resource for the design of learning systems
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...
Scott Davidoff
ICANN
2005
Springer
14 years 2 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
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...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...