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Approximating a Set of Approximate Inclusion Dependencies

2006
Approximating a collection of patterns is a new and active area of research in data mining. The main motivation lies in two observations : the number of mined patterns is often too large to be useful for any end-users and user-defined input parameters of many data mining algorithms are most of the time almost arbitrary defined (e.g.
Fabien De Marchi, Jean-Marc Petit
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Flexible Approximators for Approximating Fixpoint Theory

2016
Approximation fixpoint theory AFT is an algebraic framework for the study of fixpoints of operators on bilattices, which has been applied to the study of the semantics for a number of nonmonotonic formalisms. A central notion of AFT is that of stable revision based on an underlying approximating operator called approximator, where the negative ...
Fangfang Liu 0008   +4 more
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Approximate Approximations and their Applications

1999
This paper gives a survey of an approximation method which was proposed by V. Maz'ya as underlying procedure for numerical algorithms to solve initial and boundary value problems of mathematical physics. Due to a greater flexibility in the choice of approximating functions it allows efficient approximations of multi-dimensional integral operators often
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APPROXIMATIONS AND APPROXIMATION PROCESSES*

School Science and Mathematics, 1908
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The Approximation-of-Approximation Problem

The more capable artificial intelligence systems become, the more they are trained on their own outputs—and the more they risk losing contact with the reality they were built to model. For decades, machine learning operated under an implicit contract: models approximate an external reference through data, and errors remain correctable because that ...
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Nearest interval approximation of a fuzzy number

Fuzzy Sets and Systems, 2002
Przemysław Grzegorzewski
exaly  

Three-Point Approximations for Continuous Random Variables

Management Science, 1983
Samuel E Bodily, Donald L Keefer
exaly  

Approximation theory of fuzzy systems-MIMO case

IEEE Transactions on Fuzzy Systems, 1995
Xiao-Jun Zeng, M G Singh
exaly  

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