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» Interval Methods: An Introduction
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PRL
2006
139views more  PRL 2006»
13 years 10 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
13 years 10 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
WSC
1996
13 years 11 months ago
Experimental Evaluation of Confidence Interval Procedures in Sequential Steady-State Simulation
Sequential analysis of simulation output is generally accepted as the most efficient way for securing representativeness of samples of collected observations. In this scenario a s...
Donald C. McNickle, Krzysztof Pawlikowski, Gregory...
SSD
2001
Springer
162views Database» more  SSD 2001»
14 years 2 months ago
Interval Sequences: An Object-Relational Approach to Manage Spatial Data
The design of external index structures for one- and multidimensional extended objects is a long and well studied subject in basic database research. Today, more and more commercia...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
FM
2008
Springer
148views Formal Methods» more  FM 2008»
13 years 11 months ago
Precise Interval Analysis vs. Parity Games
In [?], a practical algorithm for precise interval analysis is provided for which, however, no non-trivial upper complexity bound is known. Here, we present a lower bound by showin...
Thomas Gawlitza, Helmut Seidl