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EUSFLAT
2003
15 years 8 months ago
Fuzzy models for prediction based on random set semantics
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
Nicholas J. Randon, Jonathan Lawry
WSC
1997
15 years 8 months ago
Taking the Work Out of Simulation Modeling: An Application of Technology Integration
This paper presents an implementation methodology appropriate for providing a broad range of proven, classical Operations Research methods and techniques to the simulation modeler...
Gregory S. Baker
PARA
2004
Springer
15 years 12 months ago
Performance of Taylor Model Methods for Validated Integration of ODEs
The performance of various Taylor model (TM)-based methods for the validated integration of ODEs is studied for some representative computational problems. For nonlinear problems, ...
Martin Berz, Kyoko Makino
ICDM
2005
IEEE
134views Data Mining» more  ICDM 2005»
16 years 7 days ago
A Preference Model for Structured Supervised Learning Tasks
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...
Fabio Aiolli
AI
2005
Springer
16 years 5 days ago
Probability and Equality: A Probabilistic Model of Identity Uncertainty
Identity uncertainty is the task of deciding whether two descriptions correspond to the same object. In this paper we discuss the identity uncertainty problem in the context of the...
Rita Sharma, David Poole