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» Interval Methods: An Introduction
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IAJIT
2010
177views more  IAJIT 2010»
13 years 8 months ago
Representing Uncertainty in Medical Knowledge: An Interval Based Approach for Binary Fuzzy Relations
: This paper addresses issues involved in representation of causal relationships between medical categories. An interval based approach for medical binary fuzzy relations is propos...
Bassam Haddad, Ahmad Awwad
DBA
2004
111views Database» more  DBA 2004»
13 years 11 months ago
Effective Decompositioning of Complex Spatial Objects into Intervals
In order to guarantee efficient query processing together with industrial strength, spatial index structures have to be integrated into fully-fledged object-relational database ma...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
EOR
2006
66views more  EOR 2006»
13 years 10 months ago
Using intervals for global sensitivity and worst-case analyses in multiattribute value trees
Sensitivity analyses have long been used to assess the impacts of uncertainties on outcomes of decision models. Several approaches have been suggested, but it has been problematic...
Jyri Mustajoki, Raimo P. Hämäläinen...
DAWAK
1999
Springer
14 years 2 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
CSDA
2008
110views more  CSDA 2008»
13 years 10 months ago
Bootstrap confidence intervals for principal response curves
The principal response curve (PRC) model is of use to analyse multivariate data resulting from experiments involving repeated sampling in time. The time-dependent treatment effect...
Marieke E. Timmerman, Cajo J. F. ter Braak