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» An Integrated Rule Modeling Framework
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PAMI
2006
215views more  PAMI 2006»
15 years 6 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
ECAI
2008
Springer
15 years 8 months ago
Fred meets Tweety
We propose a framework that brings together two major forms of default reasoning in Artificial Intelligence: applying default property classification rules in static domains, and d...
Antonis C. Kakas, Loizos Michael, Rob Miller 0002
ADCM
2000
45views more  ADCM 2000»
15 years 6 months ago
Training neural networks with noisy data as an ill-posed problem
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
Martin Burger, Heinz W. Engl
BTW
2007
Springer
114views Database» more  BTW 2007»
16 years 17 days ago
Transformation of Models in(to) a Generic Metamodel
: Model Management aims at developing new technologies and mechanisms to support the integration, evolution and matching of models. Such tasks are to be performed by means of a set...
David Kensche, Christoph Quix
ER
2005
Springer
121views Database» more  ER 2005»
15 years 12 months ago
Agent Oriented Data Integration
Abstract. Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have bee...
Avigdor Gal, Aviv Segev, Christos Tatsiopoulos, Ko...