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TNN
1998
146views more  TNN 1998»
13 years 7 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
TFS
2011
194views Education» more  TFS 2011»
13 years 2 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier
FUZZIEEE
2007
IEEE
14 years 1 months ago
Monitoring the State of a Ubiquitous Robotic System: A Fuzzy Logic Approach
— A trend is emerging in the fields of ambient intelligence (AmI) and autonomous robotics, which points in the direction of a merger between these two fields. The inclusion of ...
Donatella Guarino, Alessandro Saffiotti
EUSFLAT
2009
124views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
A toward Framework for Generic Uncertainty Management
The need for an automatic inference process able to deal with information coming from unreliable sources is becoming a relevant issue both on corporate networks and on the open Web...
Ernesto Damiani, Paolo Ceravolo, Marcello Leida
ACL
1992
13 years 8 months ago
Information States as First Class Citizens
The information state of an agent is changed when a text (in natural language) is processed. The meaning of a text can be taken to be this information state change potential. The ...
Jørgen Villadsen