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RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
14 years 2 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone
AUSAI
2005
Springer
14 years 3 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
MP
1998
73views more  MP 1998»
13 years 9 months ago
On proving existence of feasible points in equality constrained optimization problems
Various algorithms can compute approximate feasible points or approximate solutions to equality and bound constrained optimization problems. In exhaustive search algorithms for gl...
R. Baker Kearfott
FSEN
2007
Springer
14 years 1 months ago
Test Selection Criteria for Quantifier-Free First-Order Specifications
This paper deals with test case selection from axiomatic specifications whose axioms are quantifier-free first-order formulae. Test cases are modeled as ground formulae and any spe...
Marc Aiguier, Agnès Arnould, Pascale Le Gal...
CSDA
2007
92views more  CSDA 2007»
13 years 10 months ago
The Bayes factor for inequality and about equality constrained models
The Bayes factor is a useful tool for evaluating sets of inequality and about equality constrained models. In the approach described, the Bayes factor for a constrained model with...
Irene Klugkist, Herbert Hoijtink