Title
Designing Model Based Classifiers by Emphasizing Soft Targets
Abstract
In our work, an agent-based system supporting workers in an organization is centered around utilization of ontologically demarcated data. In this system, ontological matchmaking, understood as a way of establishing closeness between resources, is one ...
Year
DOI
Venue
2009
10.3233/FI-2009-186
Fundam. Inform.
Keywords
Field
DocType
soft version,ontologically demarcated data,emphasizing soft targets,easy interpretation,designing model,gaussian processes,agent-based system,complex approximation,gaussian mixturemodels,generative model,ontological matchmaking,soft target,classifiers performance,better performance,gaussian process classifier,classification,gaussian mixture models,gmm
Pattern recognition,Gaussian,Artificial intelligence,Gaussian process,Generative grammar,Missing data,Classifier (linguistics),Sample selection,Machine learning,Mixture model,Mathematics
Journal
Volume
Issue
ISSN
96
4
0169-2968
Citations 
PageRank 
References 
3
0.38
32
Authors
3
Name
Order
Citations
PageRank
Soufiane El Jelali1183.05
Abdelouahid Lyhyaoui2526.88
Aníbal R. Figueiras-Vidal346738.03