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RC
2007
148views more  RC 2007»
11 years 7 months ago
Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms
In statistical analysis of measurement results, it is often necessary to compute the range [V , V ] of the population variance V = 1 n · n i=1 (xi −E)2 (where E = 1 n · n i=1 ...
Gang Xiang, Martine Ceberio, Vladik Kreinovich
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
11 years 11 months ago
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
Jerzy W. Grzymala-Busse, Ming Hu
CCA
2009
Springer
12 years 22 days ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interv
Interval computations estimate the uncertainty of the result of data processing in situations in which we only know the upper bounds ∆ on the measurement errors. In this case, ba...
Vladik Kreinovich
ISIPTA
2003
IEEE
12 years 1 months ago
Exploring Imprecise Probability Assessments Based on Linear Constraints
For many problems there is only suf£cient prior information for a Bayesian decision maker to identify a class of possible prior distributions. In such cases it is of interest to ...
Radu Lazar, Glen Meeden
IFSA
2007
Springer
149views Fuzzy Logic» more  IFSA 2007»
12 years 2 months ago
From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interv
One of the important components of granular computing is interval computations. In interval computations, at each intermediate stage of the computation, we have intervals of possi...
Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk...
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