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» Interval Methods: An Introduction
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PRL
2006
139views more  PRL 2006»
14 years 11 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»
14 years 11 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
15 years 1 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»
15 years 4 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»
15 years 1 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